Unbiased Learning To Rank Algorithms (ULTRA)

Multileave Gradient Descent for Fast Online Learning to Rank

Unbiased Learning to Rank: Online or Offline?

Efficient Exploration of Gradient Space for Online Learning to Rank

International ACM SIGIR Conference on Research and Development in Information Retrieval

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

A Large Scale Search Dataset for Unbiased Learning to Rank

Model-based Unbiased Learning to Rank

Whole Page Unbiased Learning to Rank


BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Attention Is All You Need

Longformer: The Long-Document Transformer

Big Bird: Transformers for Longer Sequences

Extend and Explain: Interpreting Very Long Language Models


Software that can perform photorealistic style transfer without the need of any post-processing steps.

Deep Photo Style Transfer

Photorealistic Style Transfer via Wavelet Transforms

Diffusion-based Image Translation using Disentangled Style and Content
  Representation

On the Road to Online Adaptation for Semantic Image Segmentation

Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer

DeepObjStyle: Deep Object-based Photo Style Transfer

DILIE: Deep Internal Learning for Image Enhancement


Smart EVSE Electric Vehicle Charging Station

On M2M Micropayments : A Case Study of Electric Autonomous Vehicles

An architecture for distributed ledger-based M2M auditing for Electric
  Autonomous Vehicles


Tools for early stage alignment file processing

Alignment of 1000 Genomes Project reads to reference assembly GRCh38

Population-level distribution and putative immunogenicity of cancer neoepitopes

neoepiscope improves neoepitope prediction with multivariant phasing.

A genetic modifier of venous thrombosis in zebrafish reveals a functional role for fibrinogen AαE in early hemostasis

Mutational topography reflects clinical neuroblastoma heterogeneity


pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/  This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

PyCG: Practical Call Graph Generation in Python

Context-Aware Code Generation Framework for Code Repositories: Local,
  Global, and Third-Party Library Awareness

ACER: An AST-based Call Graph Generator Framework


A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition

Frontiers in bioengineering and biotechnology

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention

Improving Transformers with Probabilistic Attention Keys

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Momentum Transformer: Closing the Performance Gap Between Self-attention
  and Its Linearization

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval


Sophos-ReversingLabs 20 million sample dataset

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

Automatic Malware Description via Attribute Tagging and Similarity Embedding

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

Malware Resistant Data Protection in Hyper-connected Networks: A survey


Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads

In Vivo Validation of Alternative FDXR Transcripts in Human Blood in Response to Ionizing Radiation

International journal of molecular sciences

The Increase in the Drug Resistance of Acute Myeloid Leukemia THP-1 Cells in High-Density Cell Culture Is Associated with Inflammatory-like Activation and Anti-Apoptotic Bcl-2 Proteins

Transcript capture and ultradeep long-read RNA sequencing (CAPLRseq) to diagnose HNPCC/Lynch syndrome

Single-Molecule RNA Sequencing Reveals IFNγ-Induced Differential Expression of Immune Escape Genes in Merkel Cell Polyomavirus–Positive MCC Cell Lines

In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing


A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

Effective and Efficient Training for Sequential Recommendation using Recency Sampling

Generative Sequential Recommendation with GPTRec

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

Proceedings of the 17th ACM Conference on Recommender Systems

Improving Sequential Recommendation Models with an Enhanced Loss
  Function


[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

ManiGAN: Text-Guided Image Manipulation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation

Towards Open-World Text-Guided Face Image Generation and Manipulation

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild


Code for experiments on OpenBookQA from the EMNLP 2018 paper  "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches

Explanations from Large Language Models Make Small Reasoners Better

Repurposing Entailment for Multi-Hop Question Answering Tasks

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches


Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

A Gentle Introduction to Deep Learning for Graphs

Neural networks : the official journal of the International Neural Network Society

Bayesian Deep Learning for Graphs

The International journal of applied philosophy/International journal of applied philosophy


Classification with PyTorch.

Certified Adversarial Robustness via Randomized Smoothing

On the Variance of the Adaptive Learning Rate and Beyond

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Somatic and germline genomics in paediatric acute lymphoblastic leukaemia

Systematic Evaluation of Privacy Risks of Machine Learning Models

Differentially Private Learning Needs Better Features (or Much More Data)

Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.


Ultra-fast de novo assembler using long noisy reads

Minimap2: pairwise alignment for nucleotide sequences

The sea cucumber genome provides insights into morphological evolution and visceral regeneration

Haplotype-resolved genome analyses of a heterozygous diploid potato

de novo assembly and population genomic survey of natural yeast isolates with the Oxford Nanopore MinION sequencer

SMARTdenovo: a de novo assembler using long noisy reads

Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome

The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data

Characterization of a Y-specific duplication/insertion of the anti-Mullerian hormone type II receptor gene based on a chromosome-scale genome assembly of yellow perch, Perca flavescens


Attention Is All You Need

Character-level Convolutional Networks for Text Classification

Very Deep Convolutional Networks for Text Classification

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


Simulate Functional Mockup Units (FMUs) in Python

Vico: An entity-component-system based co-simulation framework

Simulation modelling practice and theory

Composing Modeling and Simulation with Machine Learning in Julia

Co-simulation as a Fundamental Technology for Twin Ships

Comparative study of algorithms for optimized control of industrial energy supply systems


A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

MoleculeNet: a benchmark for molecular machine learning

Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

One for All: Towards Training One Graph Model for All Classification
  Tasks


Augmented Synthetic Control Method

The Augmented Synthetic Control Method

Synthetic Controls with Staggered Adoption


PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing

Learning to Re-weight Examples with Optimal Transport for Imbalanced
  Classification

Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover

Automated Segmentation of Individual Tree Structures Using Deep Learning over LiDAR Point Cloud Data

Mask-Point: Automatic 3D Surface Defects Detection Network for Fiber-Reinforced Resin Matrix Composites

Geometry Matching for Multi-Embodiment Grasping

First attempt of directionality reconstruction for atmospheric neutrinos
  in a large homogeneous liquid scintillator detector


Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.

DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications

UN Handbook on Privacy-Preserving Computation Techniques

Usable Differential Privacy: A Case Study with PSI

A Statistical Overview on Data Privacy

Evaluation of Open-source Tools for Differential Privacy

A systematic overview on methods to protect sensitive data provided for various analyses

International journal of information security


Code release for Learning with Opponent-Learning Awareness and variations.

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

Proximal Learning With Opponent-Learning Awareness

Normative Disagreement as a Challenge for Cooperative AI


Fitness landscape exploration sandbox for biological sequence design.

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

A primer on model-guided exploration of fitness landscapes for biological sequence design

Bootstrapped Training of Score-Conditioned Generator for Offline Design
  of Biological Sequences


Fast, efficient RNA-Seq metrics for quality control and process optimization

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

PRMD: an integrated database for plant RNA modifications

Transcript expression-aware annotation improves rare variant interpretation

RNA-SeQC 2: efficient RNA-seq quality control and quantification for large cohorts

Longitudinal characterization of circulating neutrophils uncovers phenotypes associated with severity in hospitalized COVID-19 patients

Neutrophil Profiles of Pediatric COVID-19 and Multisystem Inflammatory Syndrome in Children

bioRxiv : the preprint server for biology

caAtlas: An immunopeptidome atlas of human cancer

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

A comprehensive atlas of fetal splicing patterns in the brain of adult myotonic dystrophy type 1 patients

Nimodipine Exerts Beneficial Effects on the Rat Oligodendrocyte Cell Line OLN-93


Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Generalizing Word Embeddings using Bag of Subwords

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Subword-based Compact Reconstruction of Word Embeddings

North American Chapter of the Association for Computational Linguistics


Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.


The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

HyperHuman: Hyper-Realistic Human Generation with Latent Structural
  Diffusion

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


Microassembly based somatic variant caller for NGS data

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Lancet: genome-wide somatic variant calling using localized colored DeBruijn graphs

Enhancing sensitivity and controlling false discovery rate in somatic indel discovery


maximal update parametrization (µP)

Feature Learning in Infinite-Width Neural Networks

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Feature-Learning Networks Are Consistent Across Widths At Realistic
  Scales


Python implementation of the conformal prediction framework.

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Predicting With Confidence: Using Conformal Prediction in Drug Discovery

Maximizing gain in high-throughput screening using conformal prediction

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers.

Traditional Machine and Deep Learning for Predicting Toxicity Endpoints

Conformal Prediction with Orange

Uncertainty estimations methods for a deep learning model to aid in
  clinical decision-making -- a clinician's perspective


[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

A Neural Rendering Framework for Free-Viewpoint Relighting

FWD: Real-time Novel View Synthesis with Forward Warping and Depth


Jasmine: SV Merging Across Samples

Jasmine: Population-scale structural variant comparison and analysis

Jasmine and Iris: population-scale structural variant comparison and analysis

Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons

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


Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

Post-selection inference with HSIC-Lasso

Supervised Feature Selection with Neuron Evolution in Sparse Neural
  Networks

Learning Sinkhorn divergences for supervised change point detection

Variation of DNA methylation on the IRX1/2 genes is responsible for the neural differentiation propensity in human induced pluripotent stem cells

Applying causal discovery to single-cell analyses using CausalCell


Get Deinked!!

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

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

Enhanced Deep Residual Networks for Single Image Super-Resolution

Self-Attention Generative Adversarial Networks


Squidwarc is a high fidelity, user scriptable, archival crawler that uses Chrome or Chromium with or without a head

Where Did the Web Archive Go?

Supporting Web Archiving via Web Packaging


Cell types enrichment analysis

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Inflammation status modulates the effect of host genetic variation on intestinal gene expression in inflammatory bowel disease

Transcriptome signatures from discordant sibling pairs reveal changes in peripheral blood immune cell composition in Autism Spectrum Disorder

High immune cytolytic activity in tumor‐free tongue tissue confers better prognosis in patients with squamous cell carcinoma of the oral tongue

The journal of pathology. Clinical research

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

Distinct CSF biomarker-associated DNA methylation in Alzheimer’s disease and cognitively normal subjects

Mutational Signatures Driven by Epigenetic Determinants Enable the Stratification of Patients with Gastric Cancer for Therapeutic Intervention

Immune status changing helps diagnose osteoarticular tuberculosis

Expression, oncological and immunological characterizations of BZW1/2 in pancreatic adenocarcinoma


ASVspoof 2021 Baseline Systems

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Investigating self-supervised front ends for speech spoofing countermeasures

ADD 2023: the Second Audio Deepfake Detection Challenge

Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders

CFAD: A Chinese Dataset for Fake Audio Detection

Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck

Tubes Among Us: Analog Attack on Automatic Speaker Identification

Audio Deepfake Detection: A Survey

SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio
  Detection


PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion

Counterfactual Off-Policy Training for Neural Response Generation


Cyclical Learning Rates for Training Neural Networks

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset

Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application

Wireless communications and mobile computing

Embedded hyper-parameter tuning by Simulated Annealing

Muddling Label Regularization: Deep Learning for Tabular Datasets

Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification


Simple scripts to benchmark kubernetes cluster features

Performance Evaluation of Kubernetes Networking Approaches across
  Constraint Edge Environments

A Pragmatical Approach to Anomaly Detection Evaluation in Edge Cloud
  Systems


Implementation of the variational continual learning method

Variational Continual Learning

Using Hindsight to Anchor Past Knowledge in Continual Learning

Improving and Understanding Variational Continual Learning

Overcoming Catastrophic Forgetting by Generative Regularization

FoCL: Feature-Oriented Continual Learning for Generative Models

Continual Invariant Risk Minimization


Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Motion-Conditioned Image Animation for Video Editing


Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.

Latest techniques to study DNA methylation

Oxford Nanopore sequencing: new opportunities for plant genomics?

Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Application of long-read sequencing to the detection of structural variants in human cancer genomes

Computational and structural biotechnology journal

Rapid-CNS2: rapid comprehensive adaptive nanopore-sequencing of CNS tumors, a proof-of-concept study

Distinguishing between recruitment and spread of silent chromatin structures in Saccharomyces cerevisiae

Targeted long-read sequencing captures CRISPR editing and AAV integration outcomes in brain

Molecular therapy : the journal of the American Society of Gene Therapy

ModPhred: an integrative toolkit for the analysis and storage of nanopore sequencing DNA and RNA modification data

DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data


Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

Generative adversarial network for road damage detection

Computer-aided civil and infrastructure engineering

Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review

International Conference on Data Technologies and Applications

Transfer Learning-based Road Damage Detection for Multiple Countries

Road surface detection and differentiation considering surface damages

RDD2022: A multi-national image dataset for automatic Road Damage
  Detection

Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

Advances in deep learning methods for pavement surface crack detection
  and identification with visible light visual images


An overview and exploration of the concept of missing datasets.

Surfacing Visualization Mirages

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

A critical mathematics perspective on reading data visualizations: reimagining through reformatting, reframing, and renarrating

Advancing Data Justice Research and Practice: An Integrated Literature Review

Mind the data gap(s): Investigating power in speech and language datasets

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion


Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

MuGER^2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid
  Question Answering

MetaQA: Combining Expert Agents for Multi-Skill Question Answering


Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection

Congested Crowd Instance Localization with Dilated Convolutional Swin
  Transformer

Learning Independent Instance Maps for Crowd Localization

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

Training language models to follow instructions with human feedback

Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

AlpacaFarm: A Simulation Framework for Methods that Learn from Human
  Feedback

Exploring the impact of low-rank adaptation on the performance,
  efficiency, and regularization of RLHF

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


CUDA-Warp RNN-Transducer

Speech Recognition with Deep Recurrent Neural Networks

Sequence Transduction with Recurrent Neural Networks

Synchronous Transformers for End-to-End Speech Recognition

Cross Attention Augmented Transducer Networks for Simultaneous Translation

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

BAT: Boundary aware transducer for memory-efficient and low-latency ASR


Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition

Aligning Language Models with Human Preferences via a Bayesian Approach


Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models


An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced
  Transformer

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting


Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Scene Consistency Representation Learning for Video Scene Segmentation

Boundary-aware Self-supervised Learning for Video Scene Segmentation


Powerful Python tool to analyze PDF documents

On Training Robust PDF Malware Classifiers

PDF-Malware: An Overview on Threats, Detection and Evasion Attacks


A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones

An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs

International Conference on Distributed Computing in Sensor Systems


PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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

Addressing Function Approximation Error in Actor-Critic Methods

Memory-based control with recurrent neural networks


structural variant calling and genotyping with existing tools, but, smoothly.

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Samplot: a platform for structural variant visual validation and automated filtering

Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations

Loss of function mutations in essential genes cause embryonic lethality in pigs

Genomic analyses provide insights into spinach domestication and the genetic basis of agronomic traits

The LDLR, APOB, and PCSK9 Variants of Index Patients with Familial Hypercholesterolemia in Russia

Chromosome-level genome assemblies of five Prunus species and genome-wide association studies for key agronomic traits in peach

Genomic consequences of domestication of the Siamese fighting fish

A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle

Drainage-structuring of ancestral variation and a common functional pathway shape limited genomic convergence in natural high- and low-predation guppies


Python botnet and backdoor

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

Trusted Multi-Domain DDoS Detection Based on Federated Learning


P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure

PrankWeb: a web server for ligand binding site prediction and visualization

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features

P2RANK: Knowledge-Based Ligand Binding Site Prediction Using Aggregated Local Features

Modeling Molecular Structures with Intrinsic Diffusion Models


A tensorflow implementation of "Generating Sentences from a Continuous Space"

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Improving Variational Inference with Inverse Autoregressive Flow


Implementations of Reinforcement Learning Models in Tensorflow

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

GenPADS: Reinforcing politeness in an end-to-end dialogue system


This repository is a version of VINS-Fusion with gpu acceleration. It can run on the Nvidia TX2 in realtime

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm

International Conference on Robotics and Automation

Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle


Praat in Python, the Pythonic way

Introducing Parselmouth: A Python interface to Praat

ProDiff: Progressive Fast Diffusion Model For High-Quality
  Text-to-Speech

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

ParaTTS: Learning Linguistic and Prosodic Cross-Sentence Information in Paragraph-Based TTS

A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech


Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.

Faster unfolding of communities; Speeding up the Louvain algorithm

Physical review. E, Statistical, nonlinear, and soft matter physics

Targeted pharmacological therapy restores β-cell function for diabetes remission

Detecting communities using asymptotical surprise

Post-Processing Partitions to Identify Domains of Modularity Optimization

Compressing networks with super nodes

Identifying persistent structures in multiscale ‘omics data

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes

A transcriptional cross species map of pancreatic islet cells

Human alpha cell transcriptomic signatures of types 1 and 2 diabetes highlight disease-specific dysfunction pathways

Comparative analysis of model assessment in community detection.


The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

Subsampling for Knowledge Graph Embedding Explained


g2p: English Grapheme To Phoneme Conversion

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Generative Spoken Language Modeling from Raw Audio

Unsupervised Speech Recognition

ProDiff: Progressive Fast Diffusion Model For High-Quality
  Text-to-Speech

Scaling Speech Technology to 1,000+ Languages

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Probing the Information Encoded in X-vectors

Automatic Speech Recognition & Understanding

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision

Semantic-Preserved Communication System for Highly Efficient Speech Transmission


A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Teacher-Student Compression with Generative Adversarial Networks

A methodology for training homomorphicencryption friendly neural
  networks

Instance-based Label Smoothing For Better Calibrated Classification Networks

Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN.

Combine-Net: An Improved Filter Pruning Algorithm


Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels


[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

Conformal Prediction Sets with Limited False Positives

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction


Repo for R package to query and download WFD data from the EA Catchment Data Explorer site


The stochastic collision risk model toolbox


Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

Analyzing ASR pretraining for low-resource speech-to-text translation

A Comparison of Online Automatic Speech Recognition Systems and the
  Nonverbal Responses to Unintelligible Speech

DIDEC: The Dutch Image Description and Eye-tracking Corpus

International Conference on Computational Linguistics

Assessing speech intelligibility of pathological speech: test types, ratings and transcription measures


Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

Millimeter-Wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation

Integrated Sensing and Communications: Towards Dual-functional Wireless
  Networks for 6G and Beyond


ARES - Automatic Routine for line Equivalent widths in stellar Spectra

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

Calibrating the metallicity of M dwarfs in wide physical binaries with F-, G-, and K-primaries – I: High-resolution spectroscopy with HERMES: stellar parameters, abundances, and kinematics★

Monthly Notices of the Royal Astronomical Society

The atmosphere of HD 209458b seen with ESPRESSO

SWEET-Cat 2.0: The Cat just got SWEETer; Higher quality spectra and precise parallaxes from GAIA eDR3

Uncovering the true periods of the young sub-Neptunes orbiting TOI-2076

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

The EBLM project - VIII. First results for M-dwarf mass, radius, and effective temperature measurements using CHEOPS light curves

Monthly notices of the Royal Astronomical Society

TOI-5678b: A 48-day transiting Neptune-mass planet characterized with CHEOPS and HARPS

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906

Connecting photometric and spectroscopic granulation signals with CHEOPS
  and ESPRESSO


CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis

Automatic Mapping of NES Games with Mappy

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'17)

Mechanics Automatically Recognized via Interactive Observation: Jumping

Automated Game Design Learning


HTOF: Code which parses the intermediate data from Hipparcos and Gaia and fits astrometric solutions to those data. Capable of computing likelyhoods and parameter errors in line with the catalog.

orvara: An Efficient Code to Fit Orbits Using Radial Velocity, Absolute, and/or Relative Astrometry

htof: A New Open-source Tool for Analyzing Hipparcos, Gaia, and Future Astrometric Missions

Asteroseismology of iota Draconis and Discovery of an Additional Long-period Companion

The Masses of a Sample of Radial-velocity Exoplanets with Astrometric Measurements


[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

G-Mixup: Graph Data Augmentation for Graph Classification

Prototypical Graph Contrastive Learning

A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language

Robust Contrastive Learning against Noisy Views

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Graph-based Molecular Representation Learning

Imbalanced Graph Classification via Graph-of-Graph Neural Networks


Convergent antibody responses to SARS-CoV-2 in convalescent individuals

bioRxiv : the preprint server for biology

Evolution of antibody immunity to SARS-CoV-2

Vaccination boosts naturally enhanced neutralizing breadth to SARS-CoV-2 one year after infection

Enhanced SARS-CoV-2 neutralization by dimeric IgA

Anti-SARS-CoV-2 receptor-binding domain antibody evolution after mRNA vaccination

Increased memory B cell potency and breadth after a SARS-CoV-2 mRNA boost

A Public Database of Memory and Naive B-Cell Receptor Sequences

Autoantibodies against chemokines post-SARS-CoV-2 infection correlate with disease course

Memory B cell responses to Omicron subvariants after SARS-CoV-2 mRNA breakthrough infection in humans

The Journal of experimental medicine/The journal of experimental medicine

Broad and potent neutralizing human antibodies to tick-borne flaviviruses protect mice from disease


GeoGebra Discovery

Automated Discovery of Geometrical Theorems in GeoGebra

Discovering Geometric Inequalities: The Concourse of GeoGebra Discovery, Dynamic Coloring and Maple Tools

Dealing with Degeneracies in Automated Theorem Proving in Geometry

Open Geometry Prover Community Project

Automated Exploration of Envelopes and Offsets with Networking of Technologies

Computer Assisted Proofs and Automated Methods in Mathematics Education

Symbolic Comparison of Geometric Quantities in GeoGebra

Showing Proofs, Assessing Difficulty with GeoGebra Discovery

Electronic proceedings in theoretical computer science


Sparse Cooccurence Network Investigation for Compositional data

Dietary energy sources and levels shift the multi-kingdom microbiota and functions in the rumen of lactating dairy cows

Pre-weaning Ruminal Administration of Differentially-Enriched, Rumen-Derived Inocula Shaped Rumen Bacterial Communities and Co-occurrence Networks of Post-weaned Dairy Calves

Vaginal and Anal Microbiome during Chlamydia trachomatis Infections

Oral Microbiome Metabarcoding in Two Invasive Small Mammals from New Zealand

Systems analysis of gut microbiome influence on metabolic disease in HIV and high-risk populations


A HOOMD-blue component for soft matter simulations.

Diffusion and sedimentation in colloidal suspensions using multiparticle collision dynamics with a discrete particle model.

Stratification of polymer mixtures in drying droplets: Hydrodynamics and diffusion

Computational Study of Mechanochemical Activation in Nanostructured Triblock Copolymers

Dynamic density functional theory for drying colloidal suspensions:
  Comparison of hard-sphere free-energy functionals

A complex network of interdomain interactions underlies the conformational ensemble of monomeric TDP‐43 and modulates its phase behavior

Protein science : a publication of the Protein Society

Multiscale modeling of solute diffusion in triblock copolymer membranes


Multivariate Omnibus Statistical Test

Understanding the genetic determinants of the brain with MOSTest

Making the MOSTest of Imaging Genetics

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy and improves prediction


HERMES is a publicly available computational framework for the line of sight integration over galactic radiative processes which creates sky maps in the HEALPix-compatibile format.

Simulating the Galactic multi-messenger emissions with HERMES

The Milky Way revealed to be a neutrino desert by the IceCube Galactic plane observation


A curated list of graph data augmentation papers.

Heterogeneous Graph Neural Network via Attribute Completion

NodeAug: Semi-Supervised Node Classification with Data Augmentation

MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge

Graph Data Augmentation for Graph Machine Learning: A Survey

Data Augmentation for Graph Classification

International Conference on Information and Knowledge Management

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021


Code for comparison of multimodal VAE models

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models


Neural Attentional Rating Regression with Review-level Explanations

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

On Sampled Metrics for Item Recommendation

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Neural Personalized Ranking for Image Recommendation

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

Pessimistic Reward Models for Off-Policy Learning in Recommendation

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

“Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface


DeepCS: Deep Code Search

Opportunities and Challenges in Code Search Tools

On the Replicability and Reproducibility of Deep Learning in Software Engineering

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

ACM transactions on software engineering and methodology

Simplifying Deep-Learning-Based Model for Code Search.

CSRS: Code Search with Relevance Matching and Semantic Matching


We have moved to https://github.com/limix/limix.

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

LIMIX: genetic analysis of multiple traits

A random forest approach to capture genetic effects in the presence of population structure

Genetic perturbation of PU.1 binding and chromatin looping at neutrophil enhancers associates with autoimmune disease

Gene-level quantitative trait mapping in an expanded C. elegans multiparent experimental evolution panel

Variation in PU.1 binding and chromatin looping at neutrophil enhancers influences autoimmune disease susceptibility

Genetic dissection of complex traits using hierarchical biological knowledge


Repository for the paper "Ethnicity sensitive author disambiguation using semi-supervised learning"

The impact of imbalanced training data on machine learning for author name disambiguation

CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking


Genome-wide scan for balancing selection using beta statistic

BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data

Genetic diversity in the IZUMO1-JUNO protein-receptor pair involved in human reproduction

Inferring Balancing Selection From Genome-Scale Data

Balancing selection on genomic deletion polymorphisms in humans

Accounting for diverse evolutionary forces reveals the mosaic nature of selection on genomic regions associated with human preterm birth


Eesti keele morfanalüsaator

EstNLTK - NLP Toolkit for Estonian

EstNLTK 1.6: Remastered Estonian NLP Pipeline

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

Neural Morphological Tagging for Estonian

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)


Explaining LIGO’s observations via isolated binary evolution with natal kicks

precession : Dynamics of spinning black-hole binaries with python

Gravitational-wave population inference at past time infinity

Efficient multi-timescale dynamics of precessing black-hole binaries

Inferences about the distribution, merger rate, and evolutionary processes of compact binaries from gravitational wave observations


NeurIPS 2021 - Few-shot learning competition

Prototypical Networks for Few-shot Learning

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone
  fine-tuning without episodic meta-learning dominates for few-shot learning
  image classification

Advances in MetaDL: AAAI 2021 challenge and workshop

HAL (Le Centre pour la Communication Scientifique Directe)


Newton and Quasi-Newton optimization with PyTorch

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and
  its Application to Reinforcement Learning

Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input

Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy

CDOpt: A Python Package for a Class of Riemannian Optimization


Automated statistical and functional fine-mapping pipeline with extensive API access to datasets.

Author Correction: Genome-wide association study identifies Sjögren's risk loci with functional implications in immune and glandular cells.

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline

Genetic meta-analysis of levodopa induced dyskinesia in Parkinson’s disease

Association of genetic variation at the GJA5/ACP6 locus with motor progression in Parkinson's


A free and fast perovskite solar cell simulator with coupled ion vacancy and charge carrier dynamics in one dimension. Read the Wiki to find out more, or see our website for more information!


Open Data Science

Chained Gaussian Processes

Data Readiness Levels

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data

Probabilistic selection of inducing points in sparse Gaussian processes


Collection of datasets used for Optical Music Recognition

The MUSCIMA++ Dataset for Handwritten Optical Music Recognition

International Conference on Document Analysis and Recognition

Towards a Standard Testbed for Optical Music Recognition: Definitions, Metrics, and Page Images

Optical Music Recognition with Convolutional Sequence-to-Sequence Models

From Optical Music Recognition to Handwritten Music Recognition: A baseline

Recognition of Pen-Based Music Notation: The HOMUS Dataset

International Conference on Pattern Recognition

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Transactions of the International Society for Music Information Retrieval

DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects

Towards a Universal Music Symbol Classifier

Towards Self-Learning Optical Music Recognition

International Conference on Machine Learning and Applications

DoReMi: First glance at a universal OMR dataset


Machine-Translation-based sentence alignment tool for parallel text

Findings of the WMT 2016 Bilingual Document Alignment Shared Task

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Document-Level Machine Translation with Large Language Models

A Multilingual Parallel Corpora Collection Effort for Indian Languages

A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

A Baseline Neural Machine Translation System for Indian Languages

Benchmarking LLM-based Machine Translation on Cultural Awareness

The Text+Berg corpus: an alpine french-german parallel resource

Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels

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


A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Black box approximation in the tensor train format initialized by ANOVA
  decomposition

PROTES: Probabilistic Optimization with Tensor Sampling


piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies

Introducing piXedfit: A Spectral Energy Distribution Fitting Code Designed for Resolved Sources

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Dissecting Nearby Galaxies with piXedfit. I. Spatially Resolved Properties of Stars, Dust, and Gas as Revealed by Panchromatic SED Fitting

Spatially Resolved Stellar Populations of 0.3<z<6.0 Galaxies in
  WHL0137-08 and MACS0647+70 Clusters as Revealed by JWST: How do Galaxies Grow
  and Quench Over Cosmic Time?

A Multiwavelength view of IC 860: What Is in Action inside Quenching
  Galaxies

Extremely Low Molecular Gas Content in the Vicinity of a Red Nugget Galaxy at z = 1.91


Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).

Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology


thundeR - Rapid computation and visualisation of convective parameters from rawinsonde and NWP data


The obfourscator (Courtesy mirror)

A Survey of Key Technologies for Constructing Network Covert Channel

Systemization of Pluggable Transports for Censorship Resistance

Obfuscated Tor Traffic Identification Based on Sliding Window

Protocol Proxy: An FTE-based covert channel

Maybenot: A Framework for Traffic Analysis Defenses

PTPerf: On the Performance Evaluation of Tor Pluggable Transports


Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

Neural Relation Extraction with Selective Attention over Instances

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Empirical Methods in Natural Language Processing

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Combining Distant and Direct Supervision for Neural Relation Extraction

Global Relation Embedding for Relation Extraction

Revisiting Distant Supervision for Relation Extraction

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


This GitHub repo contains all of the code for the heatwaveR package.

heatwaveR: A central algorithm for the detection of heatwaves and cold-spells


Democratic Policy Development using Collective Dialogues and AI

Aligned: A Platform-based Process for Alignment


Python wrapper for the Elexon/BMRS API

A Collection and Categorization of Open-Source Wind and Wind Power
  Datasets


Eradiate: a next-generation radiative transfer model for Earth observation applications


Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Learning physics-based reduced-order models for a single-injector combustion process

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

Computer methods in applied mechanics and engineering

Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference

Transform & Learn: A data-driven approach to nonlinear model reduction


A Toolkit for Using EnergyPlus in R.

eplusr: A framework for integrating building energy simulation and data-driven analytics


Iterated Kalman methodology for inverse problems

Efficient derivative-free Bayesian inference for large-scale inverse problems

Bayesian Calibration for Large-Scale Fluid Structure Interaction
  Problems Under Embedded/Immersed Boundary Framework

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations
  and Affine Invariance

Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution.

Sampling via Gradient Flows in the Space of Probability Measures


RFMIX - Local Ancestry and Admixture Inference Version 2

Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

The genetic history of Greenlandic-European contact

Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics

Genome-wide variation in the Angolan Namib Desert reveals unique pre-Bantu ancestry

Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci

Analytical protocol to identify local ancestry-associated molecular features in cancer


[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web"

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Dual-View Visual Contextualization for Web Navigation


Solving two-dimensional spin models with tensor networks (powered by PyTorch)

UvA-DARE (Digital Competing States in the t-J Model: Uniform d-Wave State versus Stripe State versus Stripe State

Differentiable Programming Tensor Networks

Faster methods for contracting infinite two-dimensional tensor networks

Simulating Chiral Spin Liquids with Projected Entangled-Pair States

Static and dynamical signatures of Dzyaloshinskii-Moriya interactions in the Heisenberg model on the kagome lattice

Field-induced Bose-Einstein condensation and supersolid in the two-dimensional Kondo necklace

Cubic ferromagnet and emergent U(1) symmetry on its phase boundary

Symmetric projected entangled-pair states analysis of a phase transition in coupled spin- 12 ladders

Variational tensor network operator


Molstar PDBe implementation

The structural context of posttranslational modifications at a proteome-wide scale

SWORD2: hierarchical analysis of protein 3D structures

PDBe and PDBe-KB: Providing high-quality, up-to-date and integrated resources of macromolecular structures to support basic and applied research and education.

Protein science : a publication of the Protein Society


A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Few-Shot Conversational Dense Retrieval

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Adversarial Retriever-Ranker for dense text retrieval

Simplified Data Wrangling with ir_datasets

A Neural Corpus Indexer for Document Retrieval

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

More Robust Dense Retrieval with Contrastive Dual Learning

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware
  Transformer Reranking


A new CardEst Benchmark to Bridge AI and DBMS

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Lero: A Learning-to-Rank Query Optimizer

FactorJoin: A New Cardinality Estimation Framework for Join Queries


Guideline for AI based Medical Devices

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

OnRAMP for Regulating Artificial Intelligence in Medical Products

Artificial Intelligence in Healthcare: Lost In Translation?


A genomic k-mer counter (and sequence utility) with nice features.

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

Semi-automated assembly of high-quality diploid human reference genomes

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Evolutionary and biomedical insights from a marmoset diploid genome assembly

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)

Profiling of Antimicrobial Metabolites Synthesized by the Endophytic and Genetically Amenable Biocontrol Strain Bacillus velezensis DMW1

Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin

Reference genome for the American rubyspot damselfly, Hetaerina americana

Reference genome of the long-jawed orb-weaver, Tetragnatha versicolor (Araneae: Tetragnathidae)


The pretrained models trained on Moments in Time Dataset

Moments in Time Dataset: one million videos for event understanding

Video Transformer Network

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding

Seamless Multimodal Biometrics for Continuous Personalised Wellbeing
  Monitoring


Benchmark Suite for Machine Learning Interatomic Potentials for Materials

Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials

The MLIP package: Moment Tensor Potentials with MPI and Active Learning

Scaling deep learning for materials discovery

Compact atomic descriptors enable accurate predictions via linear models

Through the eyes of a descriptor: Constructing complete, invertible descriptions of atomic environments

Implementing a neural network interatomic model with performance portability for emerging exascale architectures


The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

TADAM: Task dependent adaptive metric for improved few-shot learning

Learning from Few Samples: A Survey

Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification

An Empirical Study of Batch Normalization and Group Normalization in
  Conditional Computation


Evaluation of CNN-based Automatic Music Tagging Models

Semi-Supervised Music Tagging Transformer

MusCaps: Generating Captions for Music Audio

Emotion Embedding Spaces for Matching Music to Stories

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset


A PyTorch Graph Neural Network Library

Learning to Represent Programs with Graphs

Predicting multicellular function through multi-layer tissue networks

Structured Neural Summarization

Typilus: Neural Type Hints

Programming Language Design and Implementation

JEMMA: An extensible Java dataset for ML4Code applications


[IEEE TMI] Official Implementation for UNet++

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Microscopy cell nuclei segmentation with enhanced U-Net

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images

Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.


Repositório de dados sobre SARS-COV-2 em municípios paulistas

Sampling strategies for wastewater surveillance: Evaluating the variability of SARS-COV-2 RNA concentration in composite and grab samples

Journal of environmental chemical engineering

Simulation-based evaluation of school reopening strategies during COVID-19: A case study of São Paulo, Brazil

First case of SARS-CoV-2 RNA detection in municipal solid waste leachate from Brazil

Male sex rather than socioeconomic vulnerability as a determinant for COVID-19 death in Sao Paulo: A population-based study

The impact of school reopening strategies during COVID-19: A case study
  of Sao Paulo, Brazil


deconstructSigs

Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture

Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability

Mutation Signatures Including APOBEC in Cancer Cell Lines

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment

Cellular and molecular architecture of hematopoietic stem cells and progenitors in genetic models of bone marrow failure

Cutaneous Adnexal Adenocarcinoma: Genomic Analysis and Successful HER2-targeted Therapy of Metastatic Disease


A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Pyramid Stereo Matching Network

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

FADNet: A Fast and Accurate Network for Disparity Estimation

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks


Tools and pipelines tailored to using PacBio HiFi Reads for metagenomics

Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data

Longitudinal, Multi-Platform Metagenomics Yields a High-Quality Genomic Catalog and Guides an In Vitro Model for Cheese Communities

Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing

BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis


GNU Radio OOT module for demodulating and decoding ADS-B packets

On the Feasibility of Exploiting Traffic Collision Avoidance System Vulnerabilities

A cloud-assisted ADS-B network for UAVs based on SDR

IEEE International Workshop on Metrology for AeroSpace


web-based protein structure viewer and analysis tool interactively or in batch mode

Database resources of the National Center for Biotechnology Information

Database Resources of the National Center for Biotechnology Information

iCn3D: From Web-Based 3D Viewer to Structural Analysis Tool in Batch Mode

Biological Assembly Comparison with VAST.

STRUCTURAL BIOINFORMATICS: METHODS AND PROTOCOLS

Twelve Elements of Visualization and Analysis for Tertiary and Quaternary Structure of Biological Molecules

Rhinovirus-A True Respiratory Threat or a Common Inconvenience of Childhood?


Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.


Python package for calculating reference/potential evapotranspiration (ETo).

Robust Vegetation Parameterization for Green Roofs in the EPA Stormwater Management Model (SWMM)


Implementation of topic models based on neural network approaches.

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Topic Modeling in Embedding Spaces

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Neural Topic Modeling with Bidirectional Adversarial Training

Neural Attention-Aware Hierarchical Topic Model


WeatherBench: A benchmark dataset for data-driven weather forecasting

Journal of advances in modeling earth systems

Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench

Forecasting Global Weather with Graph Neural Networks

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers

WeatherBench 2: A benchmark for the next generation of data-driven
  global weather models

Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5

WeatherBench Probability: A benchmark dataset for probabilistic
  medium-range weather forecasting along with deep learning baseline models

Purely data-driven medium-range weather forecasting achieves comparable skill to physical models at similar resolution

Physics-inspired adaptions to low-parameter neural network weather
  forecasts systems


rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.


A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Fully Convolutional Networks for Semantic Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

Deep High-Resolution Representation Learning for Visual Recognition

OCNet: Object Context Network for Scene Parsing

Hierarchical Multi-Scale Attention for Semantic Segmentation

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Co-Occurrent Features in Semantic Segmentation

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation


Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Modern Hopfield Networks and Attention for Immune Repertoire Classification

Design of intentional backdoors in sequential models

Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks

Cross-Lingual Wolastoqey-English Definition Modelling

Recent Advances in Natural Language Processing


a Realistic and Rich 3D Environment

Semantic Scene Completion from a Single Depth Image

Embodied Question Answering

TarMAC: Targeted Multi-Agent Communication

Building Generalizable Agents with a Realistic and Rich 3D Environment

Synthetic Data for Deep Learning

Neural Modular Control for Embodied Question Answering

Vision-language navigation: a survey and taxonomy


code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

Benchmarking Domain Adaptation Methods on Aerial Datasets

Robust self-supervised learning for source-free domain adaptation


State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Time-Contrastive Networks: Self-Supervised Learning from Video

State Representation Learning for Control: An Overview

Neural networks : the official journal of the International Neural Network Society

DisCoRL: Continual Reinforcement Learning via Policy Distillation

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes


SASRec: Self-Attentive Sequential Recommendation

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE transactions on knowledge and data engineering

Consistency-Aware Recommendation for User-Generated Item List Continuation

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

HAM: Hybrid Associations Models for Sequential Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM transactions on intelligent systems and technology


(Linear-chain) Conditional random field in PyTorch.

NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques

Meeting of the Association for Computational Linguistics

Know What I don't Know: Handling Ambiguous and Unanswerable Questions
  for Text-to-SQL

New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities

International Conference on Computational Linguistics

Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels

DeepZensols: Deep Natural Language Processing Framework


High-Resolution Image Synthesis with Latent Diffusion Models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Pseudo Numerical Methods for Diffusion Models on Manifolds

Fast Sampling of Diffusion Models with Exponential Integrator

Semi-Parametric Neural Image Synthesis

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Towards the Detection of Diffusion Model Deepfakes

Diffusion Probabilistic Model Made Slim

Denoising diffusion models for out-of-distribution detection

Q-Diffusion: Quantizing Diffusion Models


Robust machine learning for responsible AI

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution
  Perspective

Margin Calibration for Long-Tailed Visual Recognition

Out-of-Distribution Representation Learning for Time Series
  Classification

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning


A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Prediction-Powered Inference

PPI++: Efficient Prediction-Powered Inference

Cross-Prediction-Powered Inference


The StarCraft Multi-Agent Challenge

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent
  Reinforcement Learning

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for
  Cooperative MARL


Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)

Weakly-supervised Temporal Action Localization by Uncertainty Modeling

VideoMix: Rethinking Data Augmentation for Video Classification


GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Improving Out-of-Distribution Robustness via Selective Augmentation

Interpretable and Generalizable Graph Learning via Stochastic Attention
  Mechanism

Learning Causally Invariant Representations for Out-of-Distribution
  Generalization on Graphs

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph
  Contrastive Learning

Identifying Semantic Component for Robust Molecular Property Prediction


Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Morfessor 2.0: Toolkit for statistical morphological segmentation

Conference of the European Chapter of the Association for Computational Linguistics

Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies

IEEE/ACM transactions on audio, speech, and language processing

A Comparative Study of Minimally Supervised Morphological Segmentation

International Conference on Computational Logic

Democratizing Neural Machine Translation with OPUS-MT

Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing


Apply Mapping Functions in Parallel using Futures

Cross-Validated Decision Trees with Targeted Maximum Likelihood
  Estimation for Nonparametric Causal Mixtures Analysis

The Increased Effect of Elections and Changing Prime Ministers on Topics
  Discussed in the Australian Federal Parliament between 1901 and 2018

Bayesian Decision Curve Analysis with bayesDCA

Semi-Parametric Identification and Estimation of Interaction and Effect
  Modification in Mixed Exposures using Stochastic Interventions


The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Query-by-Example Keyword Spotting system using Multi-head Attention and
  Softtriple Loss

Anti-transfer learning for task invariance in convolutional neural networks for speech processing


PyTorch implementation of SENet

Squeeze-and-Excitation Networks

Mixed High-Order Attention Network for Person Re-Identification

Rethinking the Pruning Criteria for Convolutional Neural Network

RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections

Weight Normalization based Quantization for Deep Neural Network Compression

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

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


This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

The Dynamic Embedded Topic Model

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet
  Allocation (CLDA)

GDTM: Graph-based Dynamic Topic Models

Measuring national capability over big science’s multidisciplinarity: A case study of nuclear fusion research

Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic Labeling

Australasian Language Technology Association Workshop


O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

IEEE transactions on visualization and computer graphics


Text tokenization and sentence segmentation (segtok v2)

PySBD: Pragmatic Sentence Boundary Disambiguation

Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

Unsupervised Bitext Mining and Translation via Self-Trained Contextual Embeddings

Evaluation of Scientific Elements for Text Similarity in Biomedical Publications

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set

HAL (Le Centre pour la Communication Scientifique Directe)

From Dataset Recycling to Multi-Property Extraction and Beyond

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

Psycholinguistic dataset on language use in 1145 novels published in English and Dutch

Identifying Corporate Credit Risk Sentiments from Financial News

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


Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection


Paint by Example: Exemplar-based Image Editing with Diffusion Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Designing a Better Asymmetric VQGAN for StableDiffusion


Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for
  Instance-Level Recognition and Retrieval

Federated Visual Classification with Real-World Data Distribution

A linearized framework and a new benchmark for model selection for fine-tuning

Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

Motley: Benchmarking Heterogeneity and Personalization in Federated
  Learning

Computationally Budgeted Continual Learning: What Does Matter?

Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

Image Retrieval using Multi-scale CNN Features Pooling

Online Continual Learning Without the Storage Constraint

CoReS: Compatible Representations via Stationarity


SenseAct: A computational framework for developing real-world robot learning tasks

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Setting up a Reinforcement Learning Task with a Real-World Robot

A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

Reproducibility of Machine Learning: Terminology, Recommendations and
  Open Issues


Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Colorful Image Colorization

Image Colorization: A Survey and Dataset

OpenAGI: When LLM Meets Domain Experts

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

GIMP-ML: Python Plugins for using Computer Vision Models in GIMP

Formal-LLM: Integrating Formal Language and Natural Language for
  Controllable LLM-based Agents


The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Structured Attention Composition for Temporal Action Localization

Anomaly Crossing: New Horizons for Video Anomaly Detection as
  Cross-domain Few-shot Learning

Frequency Selective Augmentation for Video Representation Learning


Physics-informed neural networks package

A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue

Proceedings of the Annual Conference of the Prognostics and Health Management Society

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Journal of computing and information science in engineering

Fleet Prognosis with Physics-informed Recurrent Neural Networks

Cumulative Damage Modeling with Recurrent Neural Networks

Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis

Physics-Informed Neural Networks for Bias Compensation in Corrosion-Fatigue

Hybrid Model for Wind Turbine Main Bearing Fatigue with Uncertainty in Grease Observations


Library with search algorithms for task and path planning for multi robot/agent systems

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs

Shadoks Approach to Low-Makespan Coordinated Motion Planning

DMAPF: A Decentralized and Distributed Solver for Multi-Agent Path Finding Problem with Obstacles

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality


Squeeze-and-Excitation Networks

Squeeze-and-Excitation Networks

Super Characters: A Conversion from Sentiment Classification to Image Classification

Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases

SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data

SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding


X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).

Comprehending and Ordering Semantics for Image Captioning

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

Semantic-Conditional Diffusion Networks for Image Captioning


Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

Ablating Concepts in Text-to-Image Diffusion Models

Cones: Concept Neurons in Diffusion Models for Customized Generation

Cones 2: Customizable Image Synthesis with Multiple Subjects

DreamVideo: Composing Your Dream Videos with Customized Subject and
  Motion

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Is This Loss Informative? Faster Text-to-Image Customization by Tracking
  Objective Dynamics

Decoupled Textual Embeddings for Customized Image Generation


[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

High-Resolution Image Synthesis with Latent Diffusion Models

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

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM
  Animator

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image
  Diffusion Models

Motion-Conditioned Image Animation for Video Editing


[CVPR 2022 Oral] Official implementation of DN-DETR

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation


Universal Dependencies online documentation

Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations

Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

A Structured Syntax-Semantics Interface for English-AMR Alignment

North American Chapter of the Association for Computational Linguistics

A Universal Dependencies Treebank of Ancient Hebrew

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework

Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop

Validation of Universal Dependencies by regeneration

First Steps towards Universal Dependencies for Laz

UD on Software Requirements: Application and Challenges

For the Purpose of Curry: A UD Treebank for Ashokan Prakrit

Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks


Evaluation suite for LLMs

OLMo: Accelerating the Science of Language Models

Paloma: A Benchmark for Evaluating Language Model Fit

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets


Estimation of a consistent range of adverse health and agricultural effects attributable to air pollution for a GCAM scenario

rfasst: An R tool to estimate air pollution impacts on health and agriculture


Code for CRATE (Coding RAte reduction TransformEr).

Emergence of Segmentation with Minimalistic White-Box Transformers

White-Box Transformers via Sparse Rate Reduction: Compression Is All
  There Is?


LibSA4Py: Light-weight static analysis for extracting type hints and features

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System


RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

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

Origins and geographic diversification of African rice (Oryza glaberrima)

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Network Analysis: An Integrative Approach to the Structure of Psychopathology

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

A survey of best practices for RNA-seq data analysis

LUMPY: A probabilistic framework for structural variant discovery

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes


The Land Matrix is a global and independent land monitoring initiative that promotes transparency and accountability in decisions over land and investment. The website is our Global Observatory - an open tool for collecting and visualising information about large-scale land acquisitions.


A robust way to calculate line-of-sight velocities.

A Robust Method to Measure Centroids of Spectral Lines

Spiral Structure in the Gas Disk of TW Hya

The TW Hya Rosetta Stone Project. III. Resolving the Gaseous Thermal Profile of the Disk

Molecules with ALMA at Planet-forming Scales (MAPS). XVII. Determining the 2D Thermal Structure of the HD 163296 Disk

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

bettermoments: A robust method to measure line centroids

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Mapping the Complex Kinematic Substructure in the TW Hya Disk

Observational signatures of eccentric Jupiters inside gas cavities in protoplanetary discs

Monthly Notices of the Royal Astronomical Society

Early Planet Formation in Embedded Disks (eDisk). III. A First High-resolution View of Submillimeter Continuum and Molecular Line Emission toward the Class 0 Protostar L1527 IRS


Baselines for the UDASE task of the CHiME-7 challenge

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)

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing

IEEE journal of selected topics in signal processing

Compute and Memory Efficient Universal Sound Source Separation

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge


The Tianlai pipeline.

The Tianlai dish pathfinder array: design, operation, and performance of a prototype transit radio interferometer

Monthly notices of the Royal Astronomical Society

Progress in the Construction and Testing of the Tianlai Radio Interferometers

An Eigenvector-Based Method of Radio Array Calibration and Its Application to the Tianlai Cylinder Pathfinder

Data processing pipeline for Tianlai experiment

A Simulation of Calibration and Map-making Errors of the Tianlai Cylinder Pathfinder Array


Configurable automation library for linux SBC boards including raspberry pi


SKIRT version 7 -- 3D dust radiative transfer

SKIRT: An advanced dust radiative transfer code with a user-friendly architecture

Far-infrared and dust properties of present-day galaxies in the EAGLE simulations

DustPedia: A Definitive Study of Cosmic Dust in the Local Universe

Publications of the Astronomical Society of the Pacific

SKIRT: The design of a suite of input models for Monte Carlo radiative transfer simulations

Large and small-scale structures and the dust energy balance problem in spiral galaxies

SKIRT: Hybrid parallelization of radiative transfer simulations


A novel R package that can identify and visualize 17 Sustainable Development Goals and associated 169 Targets in text

SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals


building and fitting one & two body astrometric tracks

Astrometric Identification of Nearby Binary Stars I: Predicted Astrometric Signals

Binary parameters from astrometric and spectroscopic errors – candidate hierarchical triples and massive dark companions in Gaia DR3

Is there a nearby microlensing stellar remnant hiding in Gaia DR3
  astrometry?


Resources and tools for Indian language Natural Language Processing

Beyond English-Centric Multilingual Machine Translation

No Language Left Behind: Scaling Human-Centered Machine Translation

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

Survey of Low-Resource Machine Translation

Data Diversification: A Simple Strategy For Neural Machine Translation

Online Multilingual Hate Speech Detection: Experimenting with Hindi and English Social Media

IndicBART: A Pre-trained Model for Indic Natural Language Generation

Findings of the Association for Computational Linguistics: ACL 2022

Revisiting Low Resource Status of Indian Languages in Machine Translation

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)

A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation


MERFISH decoding software

A multimodal cell census and atlas of the mammalian primary motor cortex

Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH

A molecularly defined and spatially resolved cell atlas of the whole mouse brain

bioRxiv : the preprint server for biology


Code for GaiaUnlimited Gaia selection function tools

An empirical model of the Gaia DR3 selection function

Constraints on the Galactic centre environment from Gaia hypervelocity stars III: insights on a possible companion to Sgr A*

Estimating the selection function of Gaia DR3 sub-samples


AI-enhanced computational chemistry

Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models

The journal of physical chemistry letters

Energy-conserving molecular dynamics is not energy conserving

Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics

MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows


Perform inference on algorithm-agnostic variable importance

Nonparametric variable importance assessment using machine learning techniques

A general framework for inference on algorithm-agnostic variable importance

Efficient nonparametric statistical inference on population feature importance using Shapley values

Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features


SISTR (Salmonella In Silico Typing Resource) command-line tool

The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies

Typing methods based on whole genome sequencing data

Genomic characterization of invasive typhoidal and non-typhoidal Salmonella in southwestern Nigeria

Mobilome-driven partitions of the resistome in Salmonella

Rural Raccoons (Procyon lotor) Not Likely to Be a Major Driver of Antimicrobial Resistant Human Salmonella Cases in Southern Ontario, Canada: A One Health Epidemiological Assessment Using Whole-Genome Sequence Data

Prevalence and Antibiotic Resistance of Salmonella and Campylobacter Isolates from Raw Chicken Breasts in Retail Markets in the United States and Comparison to Data from the Plant Level

Serovar-level identification of bacterial foodborne pathogens from full-length 16S rRNA gene sequencing


Tool for graph-based image segmentation and analysis

A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation

Small Sample Learning of Superpixel Classifiers for EM Segmentation

Focused Proofreading: Efficiently Extracting Connectomes from Segmented EM Images

SANTIAGO: Spine Association for Neuron Topology Improvement and Graph
  Optimization


Shell scripts for spectral-timing analysis of X-ray astronomical data.

stingray: A modern Python library for spectral timing

PINT: A Modern Software Package for Pulsar Timing

All at Once: Transient Pulsations, Spin-down, and a Glitch from the Pulsating Ultraluminous X-Ray Source M82 X-2

No Time for Dead Time: Use the Fourier Amplitude Differences to Normalize Dead-time-affected Periodograms

The black hole X-ray transient Swift J1357.2-0933 as seen with Swift and NuSTAR during its 2017 outburst

On the Statistical Properties of Cospectra


This is a Genome Annotation Framework developed with the goal of annotating VCF files (Exomes or Genomes) from patients with Mendelian Disorders.

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies

Human molecular genetics online/Human molecular genetics

Characterising and Predicting Haploinsufficiency in the Human Genome

A "Copernican" reassessment of the human mitochondrial DNA tree from its root.

From Mouse to Human: Evolutionary Genomics Analysis of Human Orthologs of Essential Genes

Calculating the statistical significance of rare variants causal for Mendelian and complex disorders

Mendel,MD: A user-friendly open-source web tool for analyzing WES and WGS in the diagnosis of patients with Mendelian disorders


BAGEL software

Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens

Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier

Biases and Blind-Spots in Genome-Wide CRISPR Knockout Screens

Multiplex enCas12a screens show functional buffering by paralogs is systematically absent from genome-wide CRISPR/Cas9 knockout screens

DePARylation is critical for S phase progression and cell survival


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

vTTS: visual-text to speech

Mid-attribute speaker generation using optimal-transport-based
  interpolation of Gaussian mixture models


R-Based API for accessing the MSKCC Cancer Genomics Data Server (CGDS)

A Comparison of RNA-Seq Results from Paired Formalin-Fixed Paraffin-Embedded and Fresh-Frozen Glioblastoma Tissue Samples

PTEN as a Prognostic/Predictive Biomarker in Cancer: An Unfulfilled Promise?

Allele-Specific DNA Methylation and Its Interplay with Repressive Histone Marks at Promoter-Mutant TERT Genes

Epithelial-to-mesenchymal transition and its association with PD-L1 and CD8 in thyroid cancer

The Impact of Open Ended Psychotherapy with Adults Formerly in Foster Care

ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection


Start with the Chempy tutorial

The challenge of simultaneously matching the observed diversity of chemical abundance patterns in cosmological hydrodynamical simulations

Towards a fully consistent Milky Way disk model

Local disc model in view of Gaia DR1 and RAVE data