使用预训练语言模型BERT做中文NER

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PERT: Pre-training BERT with Permuted Language Model

LERT: A Linguistically-motivated Pre-trained Language Model


A research library for pytorch-based neural network pruning, compression, and more.

Provable Filter Pruning for Efficient Neural Networks

Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition

SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks

Sparse Flows: Pruning Continuous-depth Models

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search

Low-Regret Active learning


Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020

Object Counting and Instance Segmentation with Image-level Supervision

Towards Partial Supervision for Generic Object Counting in Natural Scenes

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery


Editing Models with Task Arithmetic

Editing Models with Task Arithmetic

TIES-Merging: Resolving Interference When Merging Models

Merging by Matching Models in Task Parameter Subspaces

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion


E(n) Equivariant Graph Neural Networks

An efficient Lorentz equivariant graph neural network for jet tagging

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Integration of pre-trained protein language models into geometric deep learning networks

Equivariant Graph Hierarchy-Based Neural Networks

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite


Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

Universal Conditional Masked Language Pre-training for Neural Machine Translation

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization


syntactically controlled paraphrase networks

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Towards a Robust Deep Neural Network in Texts: A Survey

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs

GCPG: A General Framework for Controllable Paraphrase Generation

Findings of the Association for Computational Linguistics: ACL 2022

Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations

Identifying Adversarial Sentences by Analyzing Text Complexity

Perceptual Models of Machine-Edited Text

Meeting of the Association for Computational Linguistics


Stopwords for 50 languages in JSON format

Multilingual and Cross-Lingual Complex Word Identification

Recent Advances in Natural Language Processing

Zika discourse in the Americas: A multilingual topic analysis of Twitter

Sentiment Analysis of Tweets in Three Indian Languages

International Conference on Computational Linguistics

Measuring the diffusion of innovations with paragraph vector topic models

Learning Multilingual Topics from Incomparable Corpus

An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions

Analyzing Bayesian Crosslingual Transfer in Topic Models

North American Chapter of the Association for Computational Linguistics


Pre-trained word vectors of 30+ languages

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Predicting Distresses using Deep Learning of Text Segments in Annual Reports

A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Identify Abusive and Offensive Language in Indonesian Twitter using Deep Learning Approach

Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

International Journal of Distributed Sensor Networks

Synchronization in Interpersonal Speech

Word Similarity Datasets for Thai: Construction and Evaluation

Automated Essay Scoring System for Nonnative Japanese Learners

An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection


PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

Training data-efficient image transformers & distillation through attention

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport

Multipod Convolutional Network

Initial Guessing Bias: How Untrained Networks Favor Some Classes

Synaptic Stripping: How Pruning Can Bring Dead Neurons Back to Life


[CVPR2020] Official SPAQ & Implementation

Perceptual Quality Assessment of Smartphone Photography

A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors

No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features

On strange images with application to lossy image compression

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks


A (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Topological domains in mammalian genomes identified by analysis of chromatin interactions

Cohesin Loss Eliminates All Loop Domains

Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes

A high-resolution map of the three-dimensional chromatin interactome in human cells

Multiscale 3D Genome Rewiring during Mouse Neural Development

Two independent modes of chromatin organization revealed by cohesin removal

Organization of the Mitotic Chromosome

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

Cohesin and CTCF differentially affect chromatin architecture and gene expression in human cells

Proceedings of the National Academy of Sciences of the United States of America


[ICLR 2020] A repository for extremely fast adversarial training using FGSM

Cyclical Learning Rates for Training Neural Networks

Adversarial Training for Free!

Fast is better than free: Revisiting adversarial training

On Evaluating Adversarial Robustness

Bag of Tricks for Adversarial Training

Boosting Adversarial Training with Hypersphere Embedding

Transferring Adversarial Robustness Through Robust Representation Matching

Efficient Adversarial Training With Data Pruning

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training


SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE;  ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

PLUMENet: Efficient 3D Object Detection from Stereo Images

SOS: Stereo Matching in O(1) with Slanted Support Windows

Temporally Consistent Online Depth Estimation in Dynamic Scenes

Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision


A Network Integration Approach for Drug-Target Interaction Prediction

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning

Graph Convolutional Embeddings for Recommender Systems

A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses

An Integrative Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing


Deep learning ECG models implemented using PyTorch

LUDB: a new open-access validation tool for electrocardiogram delineation algorithms

Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing

A novel deep learning package for electrocardiography research


A concise but complete implementation of CLIP with various experimental improvements from recent papers

FILIP: Fine-grained Interactive Language-Image Pre-Training

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Scaling Language-Image Pre-training via Masking

Decoupled Contrastive Learning


Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

Machine Learning at the Network Edge: A Survey

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

On-Device Learning with Binary Neural Networks

Input Layer Binarization with Bit-Plane Encoding


32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Proximal Policy Optimization Algorithms

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

FORK: A FORward-looKing Actor for Model-Free Reinforcement Learning


PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

Learning to Prompt for Continual Learning

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer


Compound Probabilistic Context-Free Grammars for Grammar Induction

Unsupervised Recurrent Neural Network Grammars

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)

On Importance Sampling-Based Evaluation of Latent Language Models


BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Unsupervised Cross-lingual Representation Learning at Scale

On the Cross-lingual Transferability of Monolingual Representations

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

Bidirectional Language Models Are Also Few-shot Learners

BERT Based Multilingual Machine Comprehension in English and Hindi

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT

Modern Methods for Text Generation

Cross-language Information Retrieval


ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

ToTTo: A Controlled Table-To-Text Generation Dataset

Text-to-Text Pre-Training for Data-to-Text Tasks

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

CoNT: Contrastive Neural Text Generation

Table-To-Text generation and pre-training with TabT5

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey


What's Hidden in a Randomly Weighted Neural Network?

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks

A Survey of Lottery Ticket Hypothesis

Randomly Initialized Subnetworks with Iterative Weight Recycling


主流推荐系统Rank算法的实现

Wide & Deep Learning for Recommender Systems

Deep Interest Network for Click-Through Rate Prediction

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Product-based Neural Networks for User Response Prediction

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate


PyTorch Implementation of DARTS: Differentiable Architecture Search

NAS evaluation is frustratingly hard

Meta-Learning of Neural Architectures for Few-Shot Learning

Deeper Insights into Weight Sharing in Neural Architecture Search


Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Diffusion Models for Adversarial Purification

Fast Sampling of Diffusion Models with Exponential Integrator

gDDIM: Generalized denoising diffusion implicit models

Controllable and Compositional Generation with Latent-Space Energy-Based Models

Accelerating Score-based Generative Models for High-Resolution Image Synthesis

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score


Easy to use Beamformers for multi-channel speech separation/enhancement

Multi-Channel Narrow-Band Deep Speech Separation with Full-Band Permutation Invariant Training

McNet: Fuse Multiple Cues for Multichannel Speech Enhancement

Multichannel Speech Separation with Narrow-band Conformer


A Topic Modeling System Toolkit

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

Effective Neural Topic Modeling with Embedding Clustering Regularization

Discovering Topics in Long-tailed Corpora with Causal Intervention

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling

A Survey on Neural Topic Models: Methods, Applications, and Challenges

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking
  Contrastive Learning and Unassociated Word Exclusion

Towards the TopMost: A Topic Modeling System Toolkit

FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm


Zero-Shot Text-to-Image Generation

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Improving Text-to-Image Synthesis Using Contrastive Learning

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation

Text as Neural Operator: Image Manipulation by Text Instruction

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks

Data Redaction from Conditional Generative Models

Controllable Image Generation via Collage Representations

Text to artistic image generation


Python package for conformal prediction

Regression conformal prediction with random forests

Accelerating difficulty estimation for conformal regression forests

Annals of Mathematics and Artificial Intelligence

Approximating Score-based Explanation Techniques Using Conformal Regression


Generate an interactive dot plot from mummer or minimap alignments

Genome evolution and diversity of wild and cultivated potatoes

Gapless assembly of maize chromosomes using long-read technologies

Improved genome assembly and pan‐genome provide key insights into eggplant domestication and breeding

The Plant journal : for cell and molecular biology

Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control

Effect of sequence depth and length in long-read assembly of the maize inbred NC358

Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

The Gossypium longicalyx Genome as a Resource for Cotton Breeding and Evolution

Chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

De novo assembly of human genome at single-cell levels

A Chromosome-Scale Assembly of the Wheat Leaf Rust Pathogen Puccinia triticina Provides Insights Into Structural Variations and Genetic Relationships With Haplotype Resolution


geNomad: Identification of mobile genetic elements

Terabase-Scale Coassembly of a Tropical Soil Microbiome

Identification of hidden N4-like viruses and their interactions with hosts


Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

Bridging the Gap to Real-World Object-Centric Learning

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Weighted Ensemble Self-Supervised Learning

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes

DINO as a von Mises-Fisher mixture model


SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Lite-FPN for Keypoint-based Monocular 3D Object Detection


Large Scale Fine-Grained Categorization  and Domain-Specific Transfer Learning. CVPR 2018

Squeeze-and-Excitation Networks

Rethinking the Hyperparameters for Fine-tuning

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information


The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Self-Supervised Adaptation for Video Super-Resolution


Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

Neural Information Retrieval: A Literature Review

Cross-Pair Text Representations for Answer Sentence Selection

Empirical Methods in Natural Language Processing

Injecting Relational Structural Representation in Neural Networks for Question Similarity


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

3D Infomax improves GNNs for Molecular Property Prediction

Improving Molecular Pretraining with Complementary Featurizations

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks


Football game, discontinued

Google Research Football: A Novel Reinforcement Learning Environment

Recognizing Events in Spatiotemporal Soccer Data

Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data

Agent-Centric Representations for Multi-Agent Reinforcement Learning

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory


Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

Two-Stream Convolutional Networks for Action Recognition in Videos

Multimodal Object Detection via Probabilistic Ensembling

ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction


A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Time-Series Anomaly Detection Service at Microsoft

Identifying impactful service system problems via log analysis

ASPLOS - Sage: practical and scalable ML-driven performance debugging in microservices

Architectural Support for Programming Languages and Operating Systems

Correlating events with time series for incident diagnosis

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Predicting Node failure in cloud service systems

An Empirical Investigation of Incident Triage for Online Service Systems

International Conference on Software Engineering

Continuous Incident Triage for Large-Scale Online Service Systems

International Conference on Automated Software Engineering

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Outage Prediction and Diagnosis for Cloud Service Systems

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)


An efficient and consistent bundle adjustment for lidar mapping

BALM: Bundle Adjustment for Lidar Mapping

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV


Two-Stream Neural Networks for Tampered Face Detection

Noiseprint: a CNN-based camera model fingerprint

Content-aware detection of JPEG grid inconsistencies for intuitive image forensics

Zenodo (CERN European Organization for Nuclear Research)

Forgery Detection in Digital Images by Multi-Scale Noise Estimation

Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

On the Effectiveness of Image Manipulation Detection in the Age of Social Media


pytorch and cifar10

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data

IEEE Transactions on Parallel and Distributed Systems

TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators


Differentiable Learning of Logical Rules for Knowledge Base Reasoning

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Knowledge Graph Reasoning with Relational Directed Graph

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

An original model for multi-target learning of logical rules for knowledge graph reasoning


TenforFlow Implementation of Neural Factorization Machine

Neural Factorization Machines for Sparse Predictive Analytics

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

User Response Prediction in Online Advertising

Deep Multi-Representation Model for Click-Through Rate Prediction


A LoRa packet forwarder is a program running on the host of a LoRa gateway that forwards RF packets receive by the concentrator to a server through a IP/UDP link, and emits RF packets that are sent by the server. This project is associated to the lora_gateway repository for SX1301 chip. For SX1302/1303, the repository sx1302_hal must be used.

Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice

Blockchain-Based Security Model for LoRaWAN Firmware Updates


dN/dS methods to quantify selection in cancer and somatic evolution

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Longitudinal molecular trajectories of diffuse glioma in adults

Multi-cancer analysis of clonality and the timing of systemic spread in paired primary tumors and metastases

Clonal dynamics of haematopoiesis across the human lifespan

The somatic mutation landscape of the human body

Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome

Cross-species oncogenic signatures of breast cancer in canine mammary tumors

Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival

Genomic evidence supports a clonal diaspora model for metastases of esophageal adenocarcinoma


SportVU movement tracking data.

Multi-Modal Trajectory Prediction of NBA Players

Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)

ESTA: An Esports Trajectory and Action Dataset


Interactive Object Segmentation with Inside-Outside Guidance

Interactive Object Segmentation With Inside-Outside Guidance

IEEE transactions on pattern analysis and machine intelligence


Neural text-to-text question generation

Machine Comprehension by Text-to-Text Neural Question Generation

Multi-Perspective Context Matching for Machine Comprehension

Evaluating Rewards for Question Generation Models

Open-Domain Question Answering with Pre-Constructed Question Spaces


Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Revisiting Deep Learning Models for Tabular Data

Well-tuned Simple Nets Excel on Tabular Datasets

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Attention augmented differentiable forest for tabular data

Deep differentiable forest with sparse attention for the tabular data

Dive into Decision Trees and Forests: A Theoretical Demonstration

NCART: Neural Classification and Regression Tree for Tabular Data


[TPAMI] Searching prompt modules for parameter-efficient transfer learning.

LoRA: Low-Rank Adaptation of Large Language Models

Parameter-Efficient Transfer Learning for NLP

Neural Prompt Search


A python library that makes AMR parsing, generation and visualization simple.

Investigating Pretrained Language Models for Graph-to-Text Generation

AMR Parsing via Graph-Sequence Iterative Inference

Code4Struct: Code Generation for Few-Shot Event Structure Prediction

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features

Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity

Ensembling Graph Predictions for AMR Parsing

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Semantic Structure Enhanced Event Causality Identification


Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Measuring Robustness to Natural Distribution Shifts in Image Classification

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Consistency Regularization for Certified Robustness of Smoothed Classifiers

Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

On the Certified Robustness for Ensemble Models and Beyond

Data-Dependent Randomized Smoothing

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing

Adversarially Trained Models with Test-Time Covariate Shift Adaptation.


A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

Open-Vocabulary Object Detection Using Captions

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes


Toolkit for vision-guided quadrupedal locomotion research

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization

Human-AI Shared Control via Policy Dissection


Conditional implementation for NVIDIA's StyleGAN architecture

Improved Training of Wasserstein GANs

Progressive Growing of GANs for Improved Quality, Stability, and Variation

LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks


Offline Reinforcement Learning with Implicit Q-Learning

Online Decision Transformer

d3rlpy: An Offline Deep Reinforcement Learning Library

Mildly Conservative Q-Learning for Offline Reinforcement Learning

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Supported Policy Optimization for Offline Reinforcement Learning

Preference Transformer: Modeling Human Preferences using Transformers for RL

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Optimal Transport for Offline Imitation Learning


Sample code for Constrained Graph Variational Autoencoders

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

A Model to Search for Synthesizable Molecules

Barking up the right tree: an approach to search over molecule synthesis DAGs

Conditional Constrained Graph Variational Autoencoders for Molecule Design


Learning Chinese Character style with conditional GAN

Conditional Image Synthesis With Auxiliary Classifier GANs

Unsupervised Cross-Domain Image Generation

Generating Handwritten Chinese Characters using CycleGAN

Workshop on Applications of Computer Vision

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images

Few-shot Compositional Font Generation with Dual Memory

Few-shot Font Generation with Localized Style Representations and Factorization

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator

Handwritten Chinese Font Generation with Collaborative Stroke Refinement


Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Deep Clustering for Unsupervised Learning of Visual Features

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Long Range Graph Benchmark

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning

River segmentation for flood monitoring

hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform

ISPRS International Journal of Geo-Information


Creative Commons Attribution 4.0 International

Gender Bias in Coreference Resolution

Discovering Language Model Behaviors with Model-Written Evaluations

Understanding the Learning Dynamics of Alignment with Human Feedback

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and
  Safety


Turkish BERT/DistilBERT, ELECTRA and ConvBERT models

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media

SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets

International Workshop on Semantic Evaluation

Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster

Pre-training and Evaluating Transformer-based Language Models for Icelandic

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

On the Role of Morphological Information for Contextual Lemmatization

Quantum Transfer Learning for Acceptability Judgements


Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

Bayesian Deep Learning via Subnetwork Inference

Structured Dropout Variational Inference for Bayesian Neural Networks


Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Network pruning via resource reallocation

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.

SimAug: Learning Robust Representations from Simulation for Trajectory Prediction

SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Two-Stream Convolution Augmented Transformer for Human Activity Recognition

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

WiFi Motion Detection: A Study into Efficacy and Classification

A Survey of Human Activity Recognition Using WiFi CSI

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things


PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Towards Precise End-to-end Weakly Supervised Object Detection Network

Cascade Attentive Dropout for Weakly Supervised Object Detection


A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network


Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD

The Power of Transfer Learning in Agricultural Applications: AgriNet

Machine learning for leaf disease classification: data, techniques and applications

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches


emoji2vec: Learning Emoji Representations from their Description

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media

Recent Advances in Natural Language Processing

Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification

DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning

Empirical Methods in Natural Language Processing

Pay attention to emoji: Feature Fusion Network with EmoGraph2vec Model for Sentiment Analysis

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification

Emoji-aware Co-attention Network with EmoGraph2vec Model for Sentiment Anaylsis

DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection


TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

Theoretically Principled Trade-off between Robustness and Accuracy

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Overfitting in adversarially robust deep learning

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

A Closer Look at Accuracy vs. Robustness

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Bag of Tricks for Adversarial Training

Self-Adaptive Training: beyond Empirical Risk Minimization

Boosting Adversarial Training with Hypersphere Embedding

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks


Agent techniques to augment your LLM and push it beyong its limits

Generative Agents: Interactive Simulacra of Human Behavior

Self-Refine: Iterative Refinement with Self-Feedback

AutoAttacker: A Large Language Model Guided System to Implement
  Automatic Cyber-attacks

Agent Design Pattern Catalogue: A Collection of Architectural Patterns
  for Foundation Model based Agents


CircuMat is a modified (forked) version of Rama-Scene EIT Raw Materials project related to analyzing Environmentally Extended Input-Output (EEIO) tables. CircuMat focuses on NUTS2 level classification as opposed to Rama-Scene country level analysis tool.


A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing

Deep learning with coherent nanophotonic circuits

Photonics Society Summer Topical Meeting Series

Neuromorphic photonic networks using silicon photonic weight banks

Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture

Asia and South Pacific Design Automation Conference

A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning

Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization


Small tools to assist wind energy simulations

The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs


The Dynamic Agroforestry Coffee Crop Model


Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

A 3D Generative Model for Structure-Based Drug Design

Exploring Chemical Space with Score-based Out-of-distribution Generation

Docking-based generative approaches in the search for new drug candidates

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


Decoupled Weight Decay Regularization (ICLR 2019)

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

A Siren Song of Open Source Reproducibility

Computer Vision Self-supervised Learning Methods on Time Series

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models


Turn time-tag spectral data into lightcurves

Unveiling the white dwarf in J191213.72-441045.1 through ultraviolet observations

Monthly notices of the Royal Astronomical Society

A transient ultraviolet outflow in the short-period X-ray binary UW CrB

The high energy spectrum of Proxima Centauri simultaneously observed at X-ray and FUV wavelengths


Source code for OpenCOVID, an individual-based model of SARS-CoV-2 transmission and COVID-19 disease dynamics.

Impact of vaccination and non-pharmaceutical interventions on SARS-CoV-2 dynamics in Switzerland

COVID-19 Vaccine Booster Strategies in Light of Emerging Viral Variants: Frequency, Timing, and Target Groups

The potential impact of Omicron and future variants of concern on SARS-CoV-2 transmission dynamics and public health burden: a modelling study

Efficacy thresholds and target populations for antiviral COVID-19 treatments to save lives and costs: a modelling study


Phenotypic microarray assay analysis for 96-well multi-plate spectrophotometers.

Sequencing at sea: Challenges and experiences in Ion Torrent PGM sequencing during the 2013 Southern Line Islands Research Expedition

PMAnalyzer: a new web interface for bacterial growth curve analysis

Elucidating genomic gaps using phenotypic profiles


An Urban Morphogenesis Model Capturing Interactions between Networks and Territories

Unveiling co-evolutionary patterns in systems of cities: a systematic exploration of the SimpopNet model

An Applied Knowledge Framework to Study Complex Systems

Models Coupling Urban Growth and Transportation Network Growth : An Algorithmic Systematic Review Approach

Second-order control of complex systems with correlated synthetic data

Characterising and modeling the co-evolution of transportation networks and territories

Evolving accessibility landscapes: mutations of transportation networks in China

A systematic review and meta-analysis of interaction models between transportation networks and territories


Wrapper for short and long read mapping, creation of quality report(s) and estimation of genome size

Minimap2: pairwise alignment for nucleotide sequences

MultiQC: summarize analysis results for multiple tools and samples in a single report

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

An Annotated Draft Genome for Radix auricularia (Gastropoda, Mollusca)

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

De novo genome assembly of the land snail Candidula unifasciata (Mollusca: Gastropoda)

Whole-genome re-sequencing data to infer historical demography and speciation processes in land snails: the study of two Candidula sister species

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

LocoGSE, a sequence-based genome size estimator for plants


Kernel Localized Linear Regression (KLLR)

Baryonic imprints on DM haloes: population statistics from dwarf galaxies to galaxy clusters

Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration

KLLR: A Scale-dependent, Multivariate Model Class for Regression Analysis


A graphical multivariate lesion-symptom mapping toolbox

Brain Structures and Cognitive Abilities Important for the Self-Monitoring of Speech Errors

Neurobiology of language (Cambridge, Mass.)

The impact of etiology in lesion-symptom mapping – A direct comparison between tumor and stroke

Two types of phonological reading impairment in stroke aphasia


Distributed and Localized Model-Predictive Control–Part I: Synthesis and Implementation

SLSpy: Python-Based System-Level Controller Synthesis Framework

Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond

Robust Distributed and Localized Model Predictive Control

Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees

Distributed Robust Control for Systems with Structured Uncertainties

Effective GPU Parallelization of Distributed and Localized Model Predictive Control

Global Performance Guarantees for Localized Model Predictive Control


Zeroth-order Min-max Optimization

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation

Proceedings of the Genetic and Evolutionary Computation Conference

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks


Viral genome reference alignment

Emergence and phenotypic characterization of the global SARS-CoV-2 C.1.2 lineage

Predominance of the SARS-CoV-2 Lineage P.1 and Its Sublineage P.1.2 in Patients from the Metropolitan Region of Porto Alegre, Southern Brazil in March 2021

Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus

medRxiv : the preprint server for health sciences

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel

Post-vaccination SARS-COV-2 among healthcare workers in New Jersey: a genomic epidemiological study

Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020-2021

Efficacy of primary series AZD1222 (ChAdOx1 nCoV-19) vaccination against SARS-CoV-2 variants of concern: Final analysis of a randomized, placebo-controlled, phase 1b/2 study in South African adults (COV005)


Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning

How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning


Scalable training for dense retrieval models.

Domain-matched Pre-training Tasks for Dense Retrieval

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval


夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发，以 ChatGLM 为大模型底座，基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能，旨在为用户提供全方位、高精准的法律咨询与解答服务。

TrustLLM: Trustworthiness in Large Language Models

LawBench: Benchmarking Legal Knowledge of Large Language Models

Large Language Models in Law: A Survey

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation


A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Deep Learning on Graphs: A Survey

Graph Classification using Structural Attention

State of the Art and Potentialities of Graph-level Learning


GLAD: Learning Sparse Graph Recovery

Learning to Learn Graph Topologies

GLAD: Learning Sparse Graph Recovery

Methods for Recovering Conditional Independence Graphs: A Survey


ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram

Mutation of the imprinted gene OsEMF2a induces autonomous endosperm development and delayed cellularization in rice

Diversity in Metabolites and Fruit Quality Traits in Blueberry Enables Ploidy and Species Differentiation and Establishes a Strategy for Future Genetic Studies

Biocontrol Traits Correlate With Resistance to Predation by Protists in Soil Pseudomonads

Inhibition of p38 signaling curtails the SARS-CoV-2 induced inflammatory response but retains the IFN-dependent antiviral defense of the lung epithelial barrier

Plasma-Derived Extracellular Vesicles Convey Protein Signatures That Reflect Pathophysiology in Lung and Pancreatic Adenocarcinomas

Cover crop-driven shifts in soil microbial communities could modulate early tomato biomass via plant-soil feedbacks

Calcitriol Promotes Differentiation of Glioma Stem-Like Cells and Increases Their Susceptibility to Temozolomide

Analysis of Tick Surface Decontamination Methods

Citrus Varieties with Different Tolerance Grades to Tristeza Virus Show Dissimilar Volatile Terpene Profiles


A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985

Hyperspherical Variational Auto-Encoders

TensorFlow Distributions

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings


Library of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines

Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

Association of monoamine oxidase-A genetic variants and amygdala morphology in violent offenders with antisocial personality disorder and high psychopathic traits

Sex differences in brain aging among adults with family history of Alzheimer’s disease and APOE4 genetic risk

Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis

Refractoriness of aggressive behaviour to pharmacological treatment: cortical thickness analysis in autism spectrum disorder

Bilateral Amygdala Radio-Frequency Ablation for Refractory Aggressive Behavior Alters Local Cortical Thickness to a Pattern Found in Non-refractory Patients

Cerebellar and subcortical atrophy contribute to psychiatric symptoms in frontotemporal dementia

Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer’s disease

High spatial overlap but diverging age‐related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure

Using cortico‐cerebellar structural patterns to classify early‐ and late‐trained musicians


A Transformer-based Framework for Multivariate Time Series Representation Learning

Evolving Attention with Residual Convolutions

Convolution-enhanced Evolving Attention Networks


A compact, efficient Prolog interpreter written in plain-old C.

The Janus System: Multi-paradigm Programming in Prolog and Python

International Conference on Logic Programming

Tau Prolog: A Prolog interpreter for the Web


A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.

CARBON AND OXYGEN ABUNDANCES IN LOW METALLICITY DWARF GALAXIES

CHAOS I. DIRECT CHEMICAL ABUNDANCES FOR H  II REGIONS IN NGC 628

A Close Relationship between Lyα and Mg II in Green Pea Galaxies

Galaxy And Mass Assembly (GAMA): The mechanisms for quiescent galaxy formation at z < 1

Monthly Notices of the Royal Astronomical Society

Disentangling the physical parameters of gaseous nebulae and galaxies

Testing the modern merger hypothesis via the assembly of massive blue elliptical galaxies in the local Universe

THE METAL ABUNDANCES ACROSS COSMIC TIME (MACT) SURVEY. I. OPTICAL SPECTROSCOPY IN THE SUBARU DEEP FIELD

The Astrophysical Journal Supplement Series

DIRECT METHOD GAS-PHASE OXYGEN ABUNDANCES OF FOUR LYMAN BREAK ANALOGS


D3 based visualisation for comparative genomics

Next-Generation Breeding Strategies for Climate-Ready Crops

PanViz: interactive visualization of the structure of functionally annotated pangenomes

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives

Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome


corpus and code for joint modeling of dialogue acts and sentiments in social media

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-task dialog act and sentiment recognition on Mastodon

DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition

Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions

International Conference on Computational Linguistics


A Language-Independent Unsupervised Morphological Segmentation Framework based on Adaptor Grammars

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors

Meeting of the Association for Computational Linguistics

Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models

Findings of the Association for Computational Linguistics: EACL 2023


An automated pipeline for processing DamID sequencing datasets

A KDM5–Prospero transcriptional axis functions during early neurodevelopment to regulate mushroom body formation

The LINC Complex Inhibits Excessive Chromatin Repression

NuRD‐independent Mi‐2 activity represses ectopic gene expression during neuronal maturation

Tissue-specific DamID protocol using nanopore sequencing

Sedentary Behavior Impacts on the Epigenome and Transcriptome: Lessons from Muscle Inactivation in Drosophila Larvae


Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC controllers.

Implementation of Model Predictive Control for Tracking in Embedded Systems Using a Sparse Extended ADMM Algorithm

Implementation of MPC in embedded systems using first order methods

A Sparse ADMM-Based Solver for Linear MPC Subject to Terminal Quadratic Constraint

Tractable robust MPC design based on nominal predictions

Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum

Efficiently Solving the Harmonic Model Predictive Control Formulation

Harmonic model predictive control for tracking periodic references


transposable element typing pipeline

TETyper: a bioinformatic pipeline for classifying variation and genetic contexts of transposable elements from short-read whole-genome sequencing data

Complexity of Genomic Epidemiology of Carbapenem-Resistant Klebsiella pneumoniae Isolates in Colombia Urges the Reinforcement of Whole Genome Sequencing-Based Surveillance Programs

Molecular characterization of carbapenemase-producing Enterobacterales in a tertiary hospital in Lima, Peru


A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Deep Pyramidal Residual Networks

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network

Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks

End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence


[MM 2022 Oral] MM-ALT: A Multimodal Automatic Lyric Transcription System

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

SpeechBrain: A General-Purpose Speech Toolkit

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

Proceedings of the 30th ACM International Conference on Multimedia


CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://github.com/Verified-Intelligence/auto_LiRPA instead)

Intriguing properties of neural networks

Provable defenses against adversarial examples via the convex outer adversarial polytope

Efficient Neural Network Robustness Certification with General Activation Functions


Ten Quick Tips for Staying Safe Online

Cybersecurity in healthcare: A narrative review of trends, threats and ways forward

Security Fatigue

Technology-Facilitated Intimate Partner Abuse: a qualitative analysis of data from online domestic abuse forums

Design and Development of Case Studies in Security and Privacy for Health Informatics Education

ACS/IEEE International Conference on Computer Systems and Applications


A photometric redshift monstrosity

Photometric redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1

Publications of the Astronomical Society of Japan

Galaxy-Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets

Augmenting machine learning photometric redshifts with Gaussian mixture models

The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

Galaxy Clustering in the Mira-Titan Universe. I. Emulators for the Redshift Space Galaxy Correlation Function and Galaxy–Galaxy Lensing

Reconstructing AGN X-ray spectral parameter distributions with Bayesian methods

Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference


Visualize and perform a multitude of operations on newick files

Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?

CeLaVi: An Interactive Cell Lineage Visualisation Tool

Transcriptome Sequencing of the Striped Cucumber Beetle, Acalymma vittatum (F.), Reveals Numerous Sex-Specific Transcripts and Xenobiotic Detoxification Genes

Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014-15 influenza season


TGB baselines for dynamic link property prediction

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning


Learning Models of Adversarial Agent Behavior under Partial Observability

Diffusion-Reinforcement Learning Hierarchical Motion Planning in
  Adversarial Multi-agent Games

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment

Diffusion Models for Multi-target Adversarial Tracking


An Automatic DNN TrainingProblem Detection and Repair System

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

Repairing DNN Architecture: Are We There Yet?

An Effective Data-Driven Approach for Localizing Deep Learning Faults


A Computational Workflow for Designing Libraries of sgRNAs for CRISPR-Mediated Base Editing, and much more

Expanding the CRISPR Toolbox in Zebrafish for Studying Development and Disease

Frontiers in cell and developmental biology

beditor: A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing

CRISPR-Cas Genome Editing Technique for Fish Disease Management: Current Study and Future Perspective


Snow property inversion from remote sensing (SPIReS)

Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach With Examples From MODIS and Landsat 8 OLI

IEEE Transactions on Geoscience and Remote Sensing

COVID-19 lockdowns show reduced pollution on snow and ice in the Indus River Basin

Proceedings of the National Academy of Sciences of the United States of America

Evaluation of E3SM land model snow simulations over the western United States


A Python program for calculating the surface SHG yield for semiconductors.

Theory of surface second-harmonic generation for semiconductors including effects of nonlocal operators

Three-layer model for the surface second-harmonic generation yield including multiple reflections

Improved ab initio calculation of surface second-harmonic generation from Si(111)(1×1):H

Depth-Dependent Three-Layer Model for the Surface Second-Harmonic Generation Yield


Improving Neural Machine Translation Models with Monolingual Data

On The Power of Curriculum Learning in Training Deep Networks

Competence-based Curriculum Learning for Neural Machine Translation

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation


Microsoft COCO: Common Objects in Context

ImageNet Large Scale Visual Recognition Challenge

International Journal of Computer Vision

Vision meets robotics: The KITTI dataset

The International Journal of Robotics Research

The Pascal Visual Object Classes Challenge: A Retrospective

A Discriminative Feature Learning Approach for Deep Face Recognition

Attribute2Image: Conditional Image Generation from Visual Attributes


Domain based annotation of transposable elements

Chloranthus genome provides insights into the early diversification of angiosperms

Holocentromeres can consist of merely a few megabase-sized satellite arrays

Assembly of the 81.6 Mb centromere of pea chromosome 6 elucidates the structure and evolution of metapolycentric chromosomes

African Arowana Genome Provides Insights on Ancient Teleost Evolution


R package for testing and visualizing gene list overlaps

Epigenetic reprogramming rewires transcription during the alternation of generations in Arabidopsis

Ustilago maydis effector Jsi1 interacts with Topless corepressor, hijacking plant jasmonate/ethylene signaling

Coupling of autism genes to tissue-wide expression and dysfunction of synapse, calcium signalling and transcriptional regulation

Genetically-regulated transcriptomics & copy number variation of proctitis points to altered mitochondrial and DNA repair mechanisms in individuals of European ancestry

Delineation and Modulation of the Natural Killer Cell Transcriptome in Rhesus Macaques During ZIKV and SIV Infections

Frontiers in cellular and infection microbiology

Ethanol-induced transcriptional and translational changes in Aldh1l1-Egfp/Rpl10a cortical astrocyte cultures


CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

COLA: Decentralized Linear Learning

Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression


Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", by Juan L Gamella and Christina Heinze-Deml.

Active Invariant Causal Prediction: Experiment Selection through Stability

Learning Neural Causal Models with Active Interventions

Automated causal inference in application to randomized controlled clinical trials

Towards IID representation learning and its application on biomedical data


An R package for analysis of curve data with phase and amplitude variation

Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement

Simultaneous Registration and Clustering for Multidimensional Functional Data

Model-based curve registration via stochastic approximation EM algorithm

Most Likely Separation of Intensity and Warping Effects in Image Registration


PET Unified Pipeline

Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease

Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies

Cross-sectional and longitudinal atrophy is preferentially associated with tau rather than amyloid β positron emission tomography pathology

Alzheimer's & dementia (Amsterdam, Netherlands)

Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer's Disease: Results from the DIAN Study Group

Quantitative Amyloid Imaging Using Image-Derived Arterial Input Function

Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

Lack of association between acute stroke, post-stroke dementia, race, and β-amyloid status

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

Regional amyloid accumulation predicts memory decline in initially cognitively unimpaired individuals


Implementation of multi-level Contrastive Predictive Coding (CPC) methods

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation

Variable-rate hierarchical CPC leads to acoustic unit discovery in speech


ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)

A Benchmark for Systematic Generalization in Grounded Language Understanding

Inducing Causal Structure for Interpretable Neural Networks

ReaSCAN: Compositional Reasoning in Language Grounding

Systematic Generalization on gSCAN with Language Conditioned Embedding


University of Illinois/NCSA Open Source License

Source code for the ACML 2019 paper "Functional Isolation Forest".

Functional Isolation Forest

Outlier detection in multivariate functional data through a contaminated mixture model

Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection


This is an implementation of ACRNet for results reproduction on COST2100

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems

Binarized Aggregated Network With Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO Systems

Aggregated Network for Massive MIMO CSI Feedback


Supplementary material for paper "SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula"

PyOD: A Python Toolbox for Scalable Outlier Detection

Music Artist Classification with Convolutional Recurrent Neural Networks

SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources


Information about the Challenge

Automated Scoring for Reading Comprehension via In-context BERT Tuning

Automatic Short Math Answer Grading via In-context Meta-learning


Renewable Electricity Variability, Upscaling and Balancing

Turbines of the Caribbean: Decarbonising Suriname's electricity mix through hydro-supported integration of wind power

Renewable and Sustainable Energy Reviews

A spatiotemporal atlas of hydropower in Africa for energy modelling purposes


Preparation of species occurrences and distribution data for the use in phylogenetic analyses. SpeciesgeocodeR is built for data exploration and data analysis and especially suited for biogeographical and ecological questions on large datasets. The package includes the easy creation of summary-tables and -graphs and geographical maps, the calculating of coexistence matrices and species ranges (EOO) as well as mapping diversity in geographic areas.

SpeciesGeoCoder: Fast Categorization of Species Occurrences for Analyses of Biodiversity, Biogeography, Ecology, and Evolution

Big data suggest migration and bioregion connectivity as crucial for the evolution of Neotropical biodiversity

Plastome phylogenomics reveals an early Pliocene North- and Central America colonization by long-distance dispersal from South America of a highly diverse bromeliad lineage


Free PV API


R package for evaluating individual tree crown predictions against a diverse benchmark dataset

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network

Training Data for the NeonTreeEvaluation Benchmark

Zenodo (CERN European Organization for Nuclear Research)


Pipeline for scaffolding and breaking a genome assembly using 10x genomics linked-reads

Towards complete and error-free genome assemblies of all vertebrate species

Reference genome and demographic history of the most endangered marine mammal, the vaquita

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Divergent expression of hypoxia response systems under deoxygenation in reef‐forming corals aligns with bleaching susceptibility

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Evolutionary and biomedical insights from a marmoset diploid genome assembly

Chromosome-level genome assembly for giant panda provides novel insights into Carnivora chromosome evolution

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Transcript- and annotation-guided genome assembly of the European starling


A thermodynamically self-consistent mass-radius-composition calculator

The Pressure and Temperature Limits of Likely Rocky Exoplanets

Journal of Geophysical Research: Planets

On the Probability That a Rocky Planet’s Composition Reflects Its Host Star

The Nominal Ranges of Rocky Planet Masses, Radii, Surface Gravities, and Bulk Densities

MAGRATHEA: an open-source spherical symmetric planet interior structure code

Monthly Notices of the Royal Astronomical Society

Fizzy Super-Earths: Impacts of Magma Composition on the Bulk Density and Structure of Lava Worlds


Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"

Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words

The adaptation of the Affective Norms for English Words (ANEW) for Italian

The adaptation of the Affective Norms for English Words (ANEW) for European Portuguese

ANGST: Affective norms for German sentiment terms, derived from the affective norms for English words

Building Chinese Affective Resources in Valence-Arousal Dimensions

North American Chapter of the Association for Computational Linguistics

Leipzig Affective Norms for German: A reliability study

Affective Norms for 4900 Polish Words Reload (ANPW_R): Assessments for Valence, Arousal, Dominance, Origin, Significance, Concreteness, Imageability and, Age of Acquisition

Nencki Affective Word List (NAWL): the cultural adaptation of the Berlin Affective Word List–Reloaded (BAWL-R) for Polish

Discrete emotion norms for nouns: Berlin affective word list (DENN–BAWL)

Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words


Implementation of Tactical Optimistic and Pessimistic value estimation

Benchmarks for Deep Off-Policy Evaluation

Tactical Optimism and Pessimism for Deep Reinforcement Learning


elmada: Dynamic electricity carbon emission factors and prices for Europe


Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants - United States, June 2021-January 2022

MMWR. Morbidity and mortality weekly report

Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021

Genomic Surveillance for SARS-CoV-2 Variants: Circulation of Omicron Lineages — United States, January 2022–May 2023


Transformer Neural Network from Dynamic Malware Detection

SoK: The Impact of Unlabelled Data in Cyberthreat Detection

European Symposium on Security and Privacy

Nebula: Self-Attention for Dynamic Malware Analysis


The Kinetics Human Action Video Dataset

A Closer Look at Spatiotemporal Convolutions for Action Recognition

How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization


This repository contains tools to perform modern cache attacks on ARM.

ARMageddon: Cache Attacks on Mobile Devices

AutoLock: Why Cache Attacks on ARM Are Harder Than You Think

Undermining User Privacy on Mobile Devices Using AI


A decentralized learning research framework

Decentralized Learning Made Easy with DecentralizePy

Proceedings of the 3rd Workshop on Machine Learning and Systems

Get More for Less in Decentralized Learning Systems

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication


SV clustering

Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas

Author Correction: Patterns of somatic structural variation in human cancer genomes

African-specific prostate cancer molecular taxonomy

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences


Conformer-Rotamer Ensemble Sampling Tool based on the xtb Semiempirical Extended Tight-Binding Program Package

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Machine Learning Meets Mechanistic Modelling for Accurate Prediction of Experimental Activation Energies

Hot exciplexes in U-shaped TADF molecules with emission from locally excited states

Automated and Efficient Generation of General Molecular Aggregate Structures

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling

Titanocene‐Catalyzed [2+2] Cycloaddition of Bisenones and Comparison with Photoredox Catalysis and Established Methods

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

Inverse molecular design and parameter optimization with Hückel theory using automatic differentiation

CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning


Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

nuScenes: A multimodal dataset for autonomous driving

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning


Natural Language for Optimization Modelling

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

Highlighting Named Entities in Input for Auto-Formulation of Optimization Problems


Effective Pan-Sharpening by Multiscale Invertible Neural Network and Heterogeneous Task Distilling

Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening

Proceedings of the 30th ACM International Conference on Multimedia

Normalization-based Feature Selection and Restitution for Pan-sharpening

Modality-Aware Feature Integration for Pan-Sharpening


Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Deep Image Compression using Decoder Side Information

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Neural Distributed Image Compression Using Common Information

Lossy Compression of Noisy Data for Private and Data-Efficient Learning


Mutual Information Neural Estimation in Pytorch

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

MINE: Mutual Information Neural Estimation

Opening the Black Box of Deep Neural Networks via Information

Machine learning in solar physics

On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning


An R package for fitting and visualising radial inverse variance weighted and radial MR-Egger models.

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression

Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

Mendelian randomization suggests a bidirectional, causal relationship between physical inactivity and adiposity

Improving the visualisation, interpretation and analysis of two-sample summary data Mendelian randomization via the radial plot and radial regression

Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease

Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologies

Bayesian estimation of IVW and MR-Egger models for two-sample Mendelian randomization studies


An R package for import, QC and analysis of Illumina Infinium genotyping arrays

The Mouse Universal Genotyping Array: From Substrains to Subspecies

argyle: An R Package for Analysis of Illumina Genotyping Arrays

The genomic ancestry, landscape genetics and invasion history of introduced mice in New Zealand

Prdm9 Intersubspecific Interactions in Hybrid Male Sterility of House Mouse


Question Answering as Global Reasoning over Semantic Abstractions (AAAI-18)

Answering Complex Questions Using Open Information Extraction

Reasoning-Driven Question-Answering for Natural Language Understanding


Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Relation Extraction Using Distant Supervision: A Survey

Learning from Rules Generalizing Labeled Exemplars

A survey of noise reduction methods for distant supervision

Conference on Automated Knowledge Base Construction

Analysing the Noise Model Error for Realistic Noisy Label Data

A Brief Survey of Relation Extraction Based on Distant Supervision


An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)


LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Syntactic Multi-view Learning for Open Information Extraction

Constrained Tuple Extraction with Interaction-Aware Network

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Open Information Extraction via Chunks


The GN Model of Non-Linear Propagation in Uncompensated Coherent Optical Systems

A Closed-Form Approximation of the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

The Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

Achievable rate degradation of ultra-wideband coherent fiber communication systems due to stimulated Raman scattering.

The ISRS GN Model, an Efficient Tool in Modeling Ultra-Wideband Transmission in Point-to-Point and Network Scenarios

European Conference on Optical Communication


Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Multi-Concept Customization of Text-to-Image Diffusion


An ultrafast tool for genome-wide survey of microsatellites and primer design

Krait: an ultrafast tool for genome-wide survey of microsatellites and primer design

De Novo Transcriptome Profiling for the Generation and Validation of Microsatellite Markers, Transcription Factors, and Database Development for Andrographis paniculata

International journal of molecular sciences

Amaranth Genomic Resource Database: an integrated database resource of Amaranth genes and genomics


Distilling the Knowledge in a Neural Network

Pruning Filters for Efficient ConvNets

Learned Step Size Quantization

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks


Open Data Commons Open Database License v1.0

NeuroQuery: comprehensive meta-analysis of human brain mapping

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

NiMARE: Neuroimaging Meta-Analysis Research Environment

Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain

The entire brain, more or less, is at work: 'Language regions' are artefacts of averaging

Substructure of the brain’s Cingulo-Opercular network

bioRxiv : the preprint server for biology

Methods for decoding cortical gradients of functional connectivity


Counterfactual Regression

Estimating individual treatment effect: generalization bounds and algorithms

A Survey on Causal Inference

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Long-Term Effect Estimation with Surrogate Representation

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning

β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

A unified survey of treatment effect heterogeneity modeling and uplift modeling


AUTOTYP data export

Language Structures May Adapt to the Sociolinguistic Environment, but It Matters What and How You Count: A Typological Study of Verbal and Nominal Complexity

Exploring correlations in genetic and cultural variation across language families in northeast Asia

Detecting structured repetition in child-surrounding speech: Evidence from maximally diverse languages

IMTVault: Extracting and Enriching Low-resource Language Interlinear Glossed Text from Grammatical Descriptions and Typological Survey Articles

The ACQDIV Corpus Database and Aggregation Pipeline

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task


Baseline method for sound event localization task of DCASE 2021 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

IEEE/ACM Transactions on Audio, Speech, and Language Processing

ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection

A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection


A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides and the potential immunogenicity of pMHC

DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity

Computational cancer neoantigen prediction: current status and recent advances

Unraveling tumor specific neoantigen immunogenicity prediction: a comprehensive analysis


This is a general (somewhat comprehensive) description of the LNG GWAS pipeline which can be used to guide researchers on how-to run a GWAS.

Investigation of Autosomal Genetic Sex Differences in Parkinson's Disease

The Parkinson's Disease DNA Variant Browser


Python tool for colorizing and combining fits images.

A Significant Excess in Major Merger Rate for AGNs with the Highest Eddington Ratios at z < 0.2

GASTON: Galactic Star Formation with NIKA2-evidence for the mass growth of star-forming clumps

A Herschel study of G214.5-1.8: a young, cold and quiescent giant molecular filament on the shell of a HI superbubble


Reference transcriptome indices build from kallisto for popular organisms

Gut microbial trimethylamine is elevated in alcohol-associated hepatitis and contributes to ethanol-induced liver injury in mice

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity

Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer

GSK3α Regulates Temporally Dynamic Changes in Ribosomal Proteins upon Amino Acid Starvation in Cancer Cells

Venetoclax durable response in adult relapsed/refractory Philadelphia-negative acute lymphoblastic leukemia with JAK/STAT pathway alterations

Frontiers in cell and developmental biology


Mode collapse example of GANs in 2D (PyTorch).

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

Geometric GAN

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples


A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).

Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact

Marine Heatwaves Characteristics in the Barents Sea Based on High Resolution Satellite Data (1982–2020)

Marine Heatwaves in Siberian Arctic Seas and Adjacent Region

Oceanic mesoscale eddies as crucial drivers of global marine heatwaves

Frequent marine heatwaves hidden below the surface of the global ocean


ShapeGlot: Learning Language for Shape Differentiation

PartGlot: Learning Shape Part Segmentation from Language Reference Games

LADIS: Language Disentanglement for 3D Shape Editing


Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

Graphical Normalizing Flows

Differentiable DAG Sampling

Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows

Structured Neural Networks for Density Estimation and Causal Inference

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders


Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022

Pseudo-Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


Code for "Causal autoregressive flows" - AISTATS, 2021

Causal Autoregressive Flows

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Interventional and Counterfactual Inference with Diffusion Models

Autoregressive flow-based causal discovery and inference


Tool for deep mutational scanning experiments.

A statistical framework for analyzing deep mutational scanning data

A platform for functional assessment of large variant libraries in mammalian cells

Comprehensive interrogation of the ADAR2 deaminase domain for engineering enhanced RNA editing activity and specificity

Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling

Zenodo (CERN European Organization for Nuclear Research)

Enrich2: a statistical framework for analyzing deep mutational scanning data

Multiple mechanisms of self-association of chemokine receptors CXCR4 and CCR5 demonstrated by deep mutagenesis


Converts a VCF file to a FASTA alignment provided a reference genome and a GFF file

Population Genomics of the Mostly Thelytokous Diplolepis rosae (Linnaeus, 1758) (Hymenoptera: Cynipidae) Reveals Population-specific Selection for Sex

Characterization and distribution of a 14-Mb chromosomal inversion in native populations of rainbow trout (Oncorhynchus mykiss)


Miscellaneous functions for metagenomic analysis.

Phylogenetic conservation of bacterial responses to soil nitrogen addition across continents

Phylogeny- and Abundance-Based Metrics Allow for the Consistent Comparison of Core Gut Microbiome Diversity Indices Across Host Species

Randomized Double-Blind Crossover Study for Evaluating a Probiotic Mixture on Gastrointestinal and Behavioral Symptoms of Autistic Children

Trachymyrmex septentrionalisants promote fungus garden hygiene usingTrichoderma-derived metabolite cues

Comparative analysis of scalp and gut microbiome in androgenetic alopecia: A Korean cross-sectional study

Broad Dissemination of Plasmids across Groundwater-Fed Rapid Sand Filter Microbiomes

Characterization of the Soil Bacterial Community from Selected Boxwood Gardens across the United States

Longitudinal and Comparative Analysis of Gut Microbiota of Tunisian Newborns According to Delivery Mode


"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Domain-Adversarial Training of Neural Networks

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Towards Label Position Bias in Graph Neural Networks


PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks


Additional implementation of BIKE (Bit Flipping Key Encapsulation)

PQCrypto - QC-MDPC Decoders with Several Shades of Gray

A toolbox for software optimization of QC-MDPC code-based cryptosystems

Fast polynomial inversion for post quantum QC-MDPC cryptography

On Constant-Time QC-MDPC Decoders with Negligible Failure Rate

Optimized implementation of QC‐MDPC code‐based cryptography

Concurrency and Computation: Practice and Experience

Hardware-Software Co-Design of BIKE with HLS-Generated Accelerators

Binding BIKE Errors to a Key Pair

An Evaluation of the State-of-the-Art Software and Hardware
  Implementations of BIKE


Monitoring water quality from space!


Ethereum decompiler

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

Not so immutable: Upgradeability of Smart Contracts on Ethereum

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode


Calculate the ET-SCI climate extremes indices

Increase of Simultaneous Soybean Failures Due To Climate Change

How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?

Annual summaries dataset of Heatwaves in Europe, as defined by the Excess Heat Factor

Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation

Proceedings of the National Academy of Sciences of the United States of America


Code for the calculation and implementation of the PC Based epigenetic clocks

OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations

Metabolic syndrome and epigenetic aging: a twin study

Exploring the effects of Dasatinib, Quercetin, and Fisetin on DNA methylation clocks: a longitudinal study on senolytic interventions

The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality – a prospective twin study

Accelerated biological aging six decades after prenatal famine exposure


Torrent Mapping Alignment Program

Characterizing and measuring bias in sequence data

Bioinformatics and Computational Tools for Next-Generation Sequencing Analysis in Clinical Genetics

A Cell-Intrinsic Interferon-like Response Links Replication Stress to Cellular Aging Caused by Progerin

Comparison of mapping algorithms used in high-throughput sequencing: application to Ion Torrent data

A Multiplexed Amplicon Approach for Detecting Gene Fusions by Next-Generation Sequencing.

The Journal of molecular diagnostics : JMD

ALK FISH patterns and the detection of ALK fusions by next generation sequencing in lung adenocarcinoma

Elucidation of the molecular responses to waterlogging in Jatropha roots by transcriptome profiling

Comparative Transcriptome Analysis of Resistant and Susceptible Common Bean Genotypes in Response to Soybean Cyst Nematode Infection

Genetic Markers for Western Corn Rootworm Resistance to Bt Toxin

Evaluation of an integrated clinical workflow for targeted next-generation sequencing of low-quality tumor DNA using a 51-gene enrichment panel


Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Reconstructive Neuron Pruning for Backdoor Defense

Backdoor Cleansing with Unlabeled Data

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Nearest is Not Dearest: Towards Practical Defense against
  Quantization-conditioned Backdoor Attacks

Fisher Information guided Purification against Backdoor Attacks

Model-Contrastive Learning for Backdoor Defense

Backdoor Contrastive Learning via Bi-level Trigger Optimization


Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

An efficient encoder-decoder architecture with top-down attention for speech separation

Compute and Memory Efficient Universal Sound Source Separation


Code for all experiments.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Causal Semantic Representation for Out-of-Distribution Prediction

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine


Direct Attentive Dependency Parser

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies

International Workshop/Conference on Parsing Technologies

Out-of-Domain Evaluation of Finnish Dependency Parsing

When Only Time Will Tell: Interpreting How Transformers Process Local
  Ambiguities Through the Lens of Restart-Incrementality


An open source deep learning action recognition and segmentation framework

Temporal Action Detection Using a Statistical Language Model

Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling

A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition

Recurrent Residual Learning for Action Recognition


NeRFBK: Different datasets for evaluating NeRF-based methods for 3D reconstruction

A Critical Analysis of NeRF-Based 3D Reconstruction

NERF FOR HERITAGE 3D RECONSTRUCTION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences


An R package for estimating poly(A)-tail lengths in Oxford Nanopore RNA and DNA reads.

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Measuring the tail: Methods for poly(A) tail profiling

Nanopore direct RNA sequencing detects DUX4-activated repeats and isoforms in human muscle cells

Disruption of mitochondrial pyruvate oxidation in dorsal root ganglia drives persistent nociceptive sensitization and causes pervasive transcriptomic alterations


Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Reversal of pre-existing NGFR-driven tumor and immune therapy resistance

Biomarker analysis from CheckMate 214: nivolumab plus ipilimumab versus sunitinib in renal cell carcinoma

S100A5 Attenuates Efficiency of Anti-PD-L1/PD-1 Immunotherapy by Inhibiting CD8+ T Cell-Mediated Anti-Cancer Immunity in Bladder Carcinoma.

Improved prognostication of glioblastoma beyond molecular subtyping by transcriptional profiling of the tumor microenvironment

The Cancer-Associated Fibroblasts-Related Gene COMP Is a Novel Predictor for Prognosis and Immunotherapy Efficacy and Is Correlated with M2 Macrophage Infiltration in Colon Cancer

Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer

Immunogenomic pathways associated with cytotoxic lymphocyte infiltration and survival in colorectal cancer

Oleic Acid Dissolves cGAS–DNA Phase Separation to Inhibit Immune Surveillance

The oncogenic role of treacle ribosome biogenesis factor 1 (TCOF1) in human tumors: a pan-cancer analysis


Representation Learning from Stoichiometry

Recent advances and applications of deep learning methods in materials science

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Materials Representation and Transfer Learning for Multi-Property Prediction

Active learning based generative design for the discovery of wide bandgap materials

Predicting the Outcomes of Material Syntheses with Deep Learning