JAMR Parser and Generator

A Discriminative Graph-Based Parser for the Abstract Meaning Representation

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

An Incremental Parser for Abstract Meaning Representation

Semantic Neural Machine Translation using AMR

Transactions of the Association for Computational Linguistics

Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation

Empirical Methods in Natural Language Processing

SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

Meeting of the Association for Computational Linguistics

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning

Enhancing AMR-to-Text Generation with Dual Graph Representations

SemBleu: A Robust Metric for AMR Parsing Evaluation

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation

International Conference on Natural Language Generation


It'll detect your anomalies! Part of the Kale stack.

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Real-Time Anomaly Detection for Streaming Analytics

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

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

Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

IEEE Transactions on Industrial Informatics

A Review of Open Source Software Tools for Time Series Analysis


Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Versatile Multi-Modal Pre-Training for Human-Centric Perception

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation


PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Adaptive Aggregation Networks for Class-Incremental Learning


Towards Total Recall in Industrial Anomaly Detection

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation

Hard Nominal Example-aware Template Mutual Matching for Industrial Anomaly Detection

The Clever Hans Effect in Unsupervised Learning


Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM

YOLOR-Based Multi-Task Learning

RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour
  Detection

YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a Generalized Efficient Layer Aggregation Network and Attention Mechanism


Hierarchical Generation of Molecular Graphs using Structural Motifs

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

Graph-based Molecular Representation Learning

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

Hierarchical Graph-to-Graph Translation for Molecules

Data-Efficient Graph Grammar Learning for Molecular Generation


Vennerable provides Venn diagrams in R. It displays Venn and Euler diagrams for up to 9 different sets and using a variety of geometries. It allows the display of area-weighted Venn diagrams and allows fine graphical control over the result.

Transcriptional profiling of sugarcane leaves and roots under progressive osmotic stress reveals a regulated coordination of gene expression in a spatiotemporal manner

EviNet: a web platform for network enrichment analysis with flexible definition of gene sets

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors

The forkhead transcription factor FOXK2 premarks lineage-specific genes in human embryonic stem cells for activation during differentiation

Human galectin-3: Molecular switch of gene expression in dermal fibroblasts in vitro and of skin collagen organization in open wounds and tensile strength in incisions in vivo

MicroRNAs contribute to postnatal development of laminar differences and neuronal subtypes in the rat medial entorhinal cortex

AFB1 and OTA Promote Immune Toxicity in Human LymphoBlastic T Cells at Transcriptomic Level

XAP5 CIRCADIAN TIMEKEEPER Affects Both DNA Damage Responses and Immune Signaling in Arabidopsis

Cell-free genomics reveal intrinsic, cooperative and competitive determinants of chromatin interactions

Overexpression of Lectin Receptor-Like Kinase 1 in Tomato Confers Resistance to Fusarium oxysporum f. sp. Radicis-Lycopersici


基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

LoRA: Low-Rank Adaptation of Large Language Models

GPT Understands, Too

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks


Basic implementations of standard cryptography algorithms, like AES and SHA-1.

Keystone: An Open Framework for Architecting TEEs

CT-wasm: type-driven secure cryptography for the web ecosystem

Proceedings of the ACM on Programming Languages

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Performance Evaluation of C/C++, MicroPython, Rust and TinyGo Programming Languages on ESP32 Microcontroller

Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning


GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Graph neural network for traffic forecasting: A survey

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Urban Regional Function Guided Traffic Flow Prediction


RISCV port of the Slackware distribution


"Zero-Shot" Super-Resolution using Deep Internal Learning

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Unsupervised Single-Image Super-Resolution with Multi-Gram Loss

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

Kernelized Back-Projection Networks for Blind Super Resolution


Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

Studying the Effects of Self-Attention for Medical Image Analysis

Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint


OpenNI

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data

Probabilistic Sensor Fusion for Ambient Assisted Living

Markerless 3D Interaction in an Unconstrained Handheld Mixed Reality Setup

Virtual Reality International Conference

Dialectical polyptych: an interactive movie


KnowBert -- Knowledge Enhanced Contextual Word Representations

TuckER: Tensor Factorization for Knowledge Graph Completion

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

Neural Entity Linking: A Survey of Models Based on Deep Learning

Pre-train or Annotate? Domain Adaptation with a Constrained Budget

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

Findings of the Association for Computational Linguistics: ACL 2022


This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder

MI-NeRF: Learning a Single Face NeRF from Multiple Identities


reference-guided aligner for next-generation sequencing technologies

MOSAIK: A Hash-Based Algorithm for Accurate Next-Generation Sequencing Short-Read Mapping

A Novel Bipartite Centrosome Coordinates the Apicomplexan Cell Cycle

Whole transcriptome RNA-Seq allelic expression in human brain

Recent advancement in next-generation sequencing techniques and its computational analysis

Adaptive responses of yeast strains tolerant to acidic pH, acetate, and supraoptimal temperature

Empirical study on software and process quality in bioinformatics tools


Tickets for the MPI Forum

How I learned to stop worrying about user-visible endpoints and love MPI

Proceedings of the 34th ACM International Conference on Supercomputing

Towards blood flow in the virtual human: efficient self-coupling of HemeLB

MPIs Language Bindings are Holding MPI Back

Extending the Message Passing Interface (MPI) with User-Level Schedules

MPI Application Binary Interface Standardization

Proceedings of the 30th European MPI Users' Group Meeting

KaMPIng: Flexible and (Near) Zero-overhead C++ Bindings for MPI

A C++20 Interface for MPI 4.0


3D Boolean / CSG Library

Fast Tetrahedral Meshing in the Wild

Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models

As-exact-as-possible repair of unprintable STL files

Dual Graded Lattice Structures: Generation Framework and Mechanical Properties Characterization

Interactive and Robust Mesh Booleans

Fast and high-quality tetrahedral mesh generation from neuroanatomical scans

Designing modular 3D printed reinforcement of wound composite hollow beams with semidefinite programming

Improving model-based fNIRS analysis using mesh-based anatomical and light-transport models


Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Simplified Graph Learning for Inductive Short Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


High-accuracy NLP parser with models for 11 languages.

Constituency Parsing with a Self-Attentive Encoder

FlauBERT: Unsupervised Language Model Pre-training for French

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Unsupervised Recurrent Neural Network Grammars

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

Cross-Domain Generalization of Neural Constituency Parsers

Constituency Lattice Encoding for Aspect Term Extraction

International Conference on Computational Linguistics

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models


A bioinformatics tool for working with modified bases

Profiling age and body fluid DNA methylation markers using nanopore adaptive sampling

R2Dtool: Integration and visualization of isoform-resolved RNA features

Generating high-quality plant and fish reference genomes from field-collected specimens by optimizing preservation

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

bioRxiv : the preprint server for biology

Assessing methylation detection for primary human tissue using Nanopore sequencing

Giraffe: a tool for comprehensive processing and visualization of multiple long-read sequencing data


MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive

Human methylome variation across Infinium 450K data on the Gene Expression Omnibus

Systematic tissue annotations of genomics samples by modeling unstructured metadata


A collection of 230+ Boolean networks from various sources useful for benchmarking or testing.

mpbn: a simple tool for efficient edition and analysis of elementary
  properties of Boolean networks

Attractor identification in asynchronous Boolean dynamics with network reduction

Trap spaces of multi-valued networks: definition, computation, and applications


Drishti

An ancient dental gene set governs development and continuous regeneration of teeth in sharks.

The Role of Local Instabilities in Fluid Invasion into Permeable Media

The Natural Historian's Guide to the CT Galaxy: Step-by-Step Instructions for Preparing and Analyzing Computed Tomographic (CT) Data Using Cross-Platform, Open Access Software

Integrative organismal biology (Oxford, England)

Thermal Runaway of a Li-Ion Battery Studied by Combined ARC and Multi-Length Scale X-ray CT

The appendicular morphology of Sinoburius lunaris and the evolution of the artiopodan clade Xandarellida (Euarthropoda, early Cambrian) from South China

Developing an ancient epithelial appendage: FGF signalling regulates early tail denticle formation in sharks

Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments

Development of the Synarcual in the Elephant Sharks (Holocephali; Chondrichthyes): Implications for Vertebral Formation and Fusion

A comprehensive and user‐friendly framework for 3D‐data visualisation in invertebrates and other organisms

Mineralization of the Callorhinchus Vertebral Column (Holocephali; Chondrichthyes)


Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas

Pixel-wise Dense Detector for Image Inpainting

Iterative facial image inpainting based on an encoder-generator architecture

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Non-Local and Multi-Scale Mechanisms for Image Inpainting

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

Missing Pixel Reconstruction on Landsat 8 Analysis Ready Data Land Surface Temperature Image Patches Using Source-Augmented Partial Convolution

Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions


Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved Training of Wasserstein GANs

Spectral Normalization for Generative Adversarial Networks

Stabilizing Training of Generative Adversarial Networks through Regularization

How good is my GAN?

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Label-Consistent Backdoor Attacks

PassGAN: A Deep Learning Approach for Password Guessing

Identification of deep network generated images using disparities in color components

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Geometry Score: A Method For Comparing Generative Adversarial Networks


:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes

Identification of Novel Mobilized Colistin Resistance Gene mcr-9 in a Multidrug-Resistant, Colistin-Susceptible Salmonella enterica Serotype Typhimurium Isolate

Identification of novel mobile colistin resistance gene mcr-10

PLSDB: a resource of complete bacterial plasmids

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum

Combination of pre-adapted bacteriophage therapy and antibiotics for treatment of fracture-related infection due to pandrug-resistant Klebsiella pneumoniae

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

A P7 Phage-Like Plasmid Carrying mcr-1 in an ST15 Klebsiella pneumoniae Clinical Isolate

Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing based molecular epidemiological study

Klebsiella pneumoniae type VI secretion system-mediated microbial competition is PhoPQ controlled and reactive oxygen species dependent


Age Progression/Regression by Conditional Adversarial Autoencoder

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

International Journal of Computer Vision

A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging

Enhancing Facial Data Diversity with Style-based Face Aging

Personalized and Occupational-aware Age Progression by Generative Adversarial Networks

PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery

Dual reference age synthesis


Fast LOAM: Fast and Optimized Lidar Odometry And Mapping   for indoor/outdoor localization IROS 2021

F-LOAM : Fast LiDAR Odometry and Mapping

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization

An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments

Autonomous Vehicles: Open-Source Technologies, Considerations, and Development

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

INS/LIDAR/Stereo SLAM Integration for Precision Navigation in GNSS-Denied Environments

Deep Learning-Aided Inertial/Visual/LiDAR Integration for GNSS-Challenging Environments


(CVPR 2021 Oral) Open World Object Detection

Towards Open World Object Detection

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Expanding Low-Density Latent Regions for Open-Set Object Detection

Objects in Semantic Topology


A comprehensive, global, open source database of power plants


OBBDetection is an oriented object detection library, which is based on MMdetection.

Oriented R-CNN for Object Detection

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model

An Empirical Study of Remote Sensing Pretraining

Fewer is more: efficient object detection in large aerial images

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection


Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

An ELU Network with Total Variation for Image Denoising

A Plug-and-Play Priors Framework for Hyperspectral Unmixing

On Plug-and-Play Regularization Using Linear Denoisers

Non-Local SVD Denoising of MRI Based on Sparse Representations


NCycDB: a curated integrative database for fast and accurate metagenomic profiling of nitrogen cycling genes

Functional Traits Resolve Mechanisms Governing the Assembly and Distribution of Nitrogen-Cycling Microbial Communities in the Global Ocean

The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis

Light Intensity Modulates the Functional Composition of Leaf Metabolite Groups and Phyllosphere Prokaryotic Community in Garden Lettuce (Lactuca sativa L.) Plants at the Vegetative Stage

International journal of molecular sciences

Methylomonadaceae was the active and dominant methanotroph in Tibet lake sediments

Distinctive microbial community and genome structure in coastal seawater from a human-made port and nearby offshore island in northern Taiwan facing the Northwestern Pacific Ocean

Investigating eukaryotic and prokaryotic diversity and functional potential in the cold and alkaline ikaite columns in Greenland


Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer

Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline

Dissecting order amidst chaos of programmed cell deaths: construction of a diagnostic model for KIRC using transcriptomic information in blood-derived exosomes and single-cell multi-omics data in tumor microenvironment

Sibling chimerism among microglia in marmosets

scCensus: Off-target scRNA-seq reads reveal meaningful biology


This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Training data-efficient image transformers & distillation through attention


A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

Automatic Hierarchical Attention Neural Network for Detecting AD

Learning to Answer Visual Questions from Web Videos

How do you correct run-on sentences it's not as easy as it seems

Comprehensive Punctuation Restoration for English and Polish

Findings of the Association for Computational Linguistics: EMNLP 2021


CPU usage limiter for Linux

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

EventTube: An Artificial Intelligent Edge Computing Based Event Aware System to Collaborate With Individual Devices in Logistics Systems

IEEE Transactions on Industrial Informatics

Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning


Home of CodeT5: Open Code LLMs for Code Understanding and Generation

RoBERTa: A Robustly Optimized BERT Pretraining Approach

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

OctoPack: Instruction Tuning Code Large Language Models

Stealthy Backdoor Attack for Code Models

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering


A tool for the calculation of RNA-editing index for RNA seq data

REDIportal: millions of novel A-to-I RNA editing events from thousands of RNAseq experiments

A Comprehensive Analysis of the Effect of A>I(G) RNA-Editing Sites on Genotoxic Drug Response and Progression in Breast Cancer


Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and  CTRL (ICCV 23, oral).

Embracing Single Stride 3D Object Detector with Sparse Transformer

Fully Sparse 3D Object Detection

Super Sparse 3D Object Detection

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels


Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

AST: Audio Spectrogram Transformer

SSAST: Self-Supervised Audio Spectrogram Transformer

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations

CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio Classification

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Multiscale Audio Spectrogram Transformer for Efficient Audio Classification

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models

Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data

Dataset Balancing Can Hurt Model Performance

IEEE International Conference on Acoustics, Speech, and Signal Processing

The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers


Unsupervised Speech Decomposition Via Triple Information Bottleneck

Unsupervised Speech Decomposition via Triple Information Bottleneck

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement


GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

A Large-Scale Chinese Short-Text Conversation Dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

On the Generation of Medical Dialogues for COVID-19

Restatement and Question Generation for Counsellor Chatbot

Proceedings of the 1st Workshop on NLP for Positive Impact

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging

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

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

Robust Dialogue Utterance Rewriting as Sequence Tagging

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk


This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Occupancy Networks: Learning 3D Reconstruction in Function Space

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction


CVNets: A library for training computer vision networks

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Separable Self-attention for Mobile Vision Transformers

CVNets: High Performance Library for Computer Vision

Overcoming the Stability Gap in Continual Learning

RangeAugment: Efficient Online Augmentation with Range Learning

Bytes Are All You Need: Transformers Operating Directly On File Bytes


Deep Interest Evolution Network for Click-Through Rate Prediction

User Response Prediction in Online Advertising

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction


TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

ImageNet Large Scale Visual Recognition Challenge

Interventional Few-Shot Learning

Meta-Transfer Learning through Hard Tasks

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Generating Multiple Objects at Spatially Distinct Locations

On the Evaluation of Conditional GANs

Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

Visual-Relation Conscious Image Generation from Structured-Text

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis

Obj-GloVe: Scene-Based Contextual Object Embedding


IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

IOBR: Multi-omics Immuno-Oncology Biological Research to decode tumor microenvironment and signatures

PET/CT Imaging of Activated Cancer-Associated Fibroblasts Predict Response to PD-1 Blockade in Gastric Cancer Patients

Identification and investigation of depression-related molecular subtypes in inflammatory bowel disease and the anti-inflammatory mechanisms of paroxetine

Immunosuppressive Microenvironment Revealed by Immune Cell Landscape in Pre-metastatic Liver of Colorectal Cancer

Synergistic induction of tertiary lymphoid structures by chemoimmunotherapy in bladder cancer

Clinical significance of FBXO43 in hepatocellular carcinoma and its impact on tumor cell proliferation, migration and invasion

SYNPO2 promotes the development of BLCA by upregulating the infiltration of resting mast cells and increasing the resistance to immunotherapy

TUBA1C orchestrates the immunosuppressive tumor microenvironment and resistance to immune checkpoint blockade in clear cell renal cell carcinoma

Integrated profiling identifies ferredoxin 1 as an immune-related biomarker of malignant phenotype in glioma


Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Reducing Domain Gap by Reducing Style Bias

Generalizing to unseen domains via distribution matching

Self-Supervised Domain Adaptation for Computer Vision Tasks

Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation

Accurate prediction of molecular targets using a self-supervised image representation learning framework

Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization


The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

Quantifying the local adaptive landscape of a nascent bacterial community

dbOTU3: A new implementation of distribution-based OTU calling

Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features

A BERT-based ensemble learning approach for the BioCreative VII challenges: full-text chemical identification and multi-label classification in PubMed articles

Database : the journal of biological databases and curation

Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets

Bidirectional Interactions With Humpback Whale Singer Using Concrete Sound Elements


Simple, online, and realtime tracking of multiple objects in a video sequence.

Simple Online and Realtime Tracking

International Conference on Information Photonics

Tracking Objects as Points

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

IEEE Transactions on Geoscience and Remote Sensing

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

International journal of computer vision

LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices

Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition


SEACR: Sparse Enrichment Analysis for CUT&RUN

Multifactorial profiling of epigenetic landscapes at single-cell resolution using MulTI-Tag

A modified CUT&RUN protocol and analysis pipeline to identify transcription factor binding sites in human cell lines

Multifactorial chromatin regulatory landscapes at single cell resolution

Improved CUT&RUN chromatin profiling and analysis tools

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis

Simultaneous CUT&Tag profiling of the accessible and silenced regulome in single cells


❄ Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

Visual Prompt Tuning

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning

Learning Expressive Prompting With Residuals for Vision Transformers

Distribution-Aware Prompt Tuning for Vision-Language Models

Dynamic Prompting: A Unified Framework for Prompt Tuning

Distilling from Similar Tasks for Transfer Learning on a Budget


Inferring and visualizing clonal evolution in multi-sample cancer sequencing

Visualizing tumor evolution with the fishplot package for R

Dynamic changes in the clonal structure of MDS and AML in response to epigenetic therapy

Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases

The clonal evolution of metastatic colorectal cancer

Single-cell analysis based dissection of clonality in myelofibrosis

Novel mutational landscapes and expression signatures of lung squamous cell carcinoma

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Mutational dynamics and immune evasion in diffuse large B-cell lymphoma explored in a relapse-enriched patient series

Proteogenomics decodes the evolution of human ipsilateral breast cancer


An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

Re Learning Memory Guided Normality for Anomaly Detection

Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning


Point based  and tiny object detection and localization code set of UCAS-VG

Scale Match for Tiny Person Detection

The 1st Tiny Object Detection Challenge:Methods and Results

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Object Localization under Single Coarse Point Supervision

Long-Distance Person Detection Based on YOLOv7

TO–YOLOX: a pure CNN tiny object detection model for remote sensing images

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

CPR++: Object Localization via Single Coarse Point Supervision


node2vec: Scalable Feature Learning for Networks

A Survey on Network Embedding

Network Representation Learning: A Survey

Graph Self-Supervised Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

Representation Learning for Dynamic Graphs: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Large-Scale Visual Relationship Understanding

Node Embedding over Temporal Graphs

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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


A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks


MDNet PyTorch implementation

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Benchmarking Deep Trackers on Aerial Videos


PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Self-Attentive Sequential Recommendation

Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?

SLMRec: Empowering Small Language Models for Sequential Recommendation

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System

RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs


RoBERTa中文预训练模型: RoBERTa for Chinese

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Pre-Training with Whole Word Masking for Chinese BERT

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

A BERT-based Dual Embedding Model for Chinese Idiom Prediction

Semantic Role Labeling with Heterogeneous Syntactic Knowledge

International Conference on Computational Linguistics


[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN


2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

Shape Robust Text Detection with Progressive Scale Expansion Network

Image-based table recognition: data, model, and evaluation

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling


Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Unshuffling Data for Improved Generalization in Visual Question Answering

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Meta Module Network for Compositional Visual Reasoning

Transformer Reasoning Network for Image-Text Matching and Retrieval

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding


FOTS Pytorch Implementation

FOTS: Fast Oriented Text Spotting with a Unified Network

Text Recognition in the Wild: A Survey

Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition


P4-NetFPGA wiki

P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN

Anonymizing Masses: Practical Light-weight Anonymity at the Network Level

A Terabit Hybrid FPGA-ASIC Platform for Switch Virtualization


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

Training Generative Adversarial Networks with Limited Data

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Regularizing Generative Adversarial Networks under Limited Data

Variational Model Inversion Attacks

Training GANs with Stronger Augmentations via Contrastive Discriminator

Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data


Coherent Semantic Attention for image inpainting(ICCV 2019)

Image Inpainting for Irregular Holes Using Partial Convolutions

Coherent Semantic Attention for Image Inpainting

Text-Guided Neural Image Inpainting

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Neural Image Inpainting Guided with Descriptive Text


R-FCN: Object Detection via Region-based Fully Convolutional Networks

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

A review: Comparison of performance metrics of pretrained models for object detection using the TensorFlow framework

IOP Conference Series: Materials Science and Engineering

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators

Auto-Context R-CNN

Overhead Detection: Beyond 8-bits and RGB

A Post-processing Fusion Framework for Deep Learning Models for Crop Disease Detection


Keras implementation of Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

Representing Long-Range Context for Graph Neural Networks with Global Attention

Malicious Powershell Detection Using Graph Convolution Network

Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters


The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Transformers in Time Series: A Survey

One Fits All:Power General Time Series Analysis by Pretrained LM

Chronos: Learning the Language of Time Series

Empowering Time Series Analysis with Large Language Models: A Survey

Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly
  Detection Models

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning

PowerPM: Foundation Model for Power Systems

Right on Time: Revising Time Series Models by Constraining their
  Explanations


MIRACL Cryptographic SDK: Multiprecision Integer and Rational Arithmetic Cryptographic Library is a C software library that is widely regarded by developers as the gold standard open source SDK for elliptic curve cryptography (ECC).

An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System

An Efficient and Provably Secure Certificateless Key-Encapsulated Signcryption Scheme for Flying Ad-hoc Network

How to End Password Reuse on the Web

Proceedings 2019 Network and Distributed System Security Symposium

An Online-Offline Certificateless Signature Scheme for Internet of Health Things

TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band

International Conference on Computer Communications

Multiaccess Edge Computing Empowered Flying Ad Hoc Networks with Secure Deployment Using Identity-Based Generalized Signcryption

An Efficient and Provably Secure Certificateless Blind Signature Scheme for Flying Ad-Hoc Network Based on Multi-Access Edge Computing

A Secure, Lightweight, and Anonymous User Authentication Protocol for IoT Environments

Identity-Based Key Exchange on In-Vehicle Networks: CAN-FD & FlexRay

Lightweight Failover Authentication Mechanism for IoT-Based Fog Computing Environment


A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

Moshi: a speech-text foundation model for real-time dialogue

Speech Robust Bench: A Robustness Benchmark For Speech Recognition


CancerSCEM: a database of single-cell expression map across various human cancers

Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis

Protocol for identifying immune checkpoint on circulating tumor cells of human pancreatic ductal adenocarcinoma by single-cell RNA sequencing

Single-cell profiling of the copy-number heterogeneity in colorectal cancer


This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Few-Shot Text Generation with Natural Language Instructions

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

True Few-Shot Learning with Prompts -- A Real-World Perspective

Revisiting Self-Training for Few-Shot Learning of Language Model

Instance-Aware Prompt Learning for Language Understanding and Generation

Towards Unified Prompt Tuning for Few-shot Text Classification

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning


[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA,  BLOOM, Vicuna, Baichuan, TinyLlama, etc.

A Survey of Large Language Models

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models


A map of transcriptional heterogeneity and regulatory variation in human microglia

Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

Mapping interindividual dynamics of innate immune response at single-cell resolution

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

International journal of molecular sciences

Development of a cloud-based Bioinformatics Training Platform

Large-scale map of RNA binding protein interactomes across the mRNA life-cycle

bioRxiv : the preprint server for biology

Analysis of miRNA expression in the trachea of Ri chicken infected with the highly pathogenic avian influenza H5N1 virus

Inhibition of protein arginine methyltransferase 6 activates interferon signaling and induces the apoptosis of endometrial cancer cells via histone modification


The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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

Attention U-Net: Learning Where to Look for the Pancreas

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

U2-Net: Going deeper with nested U-structure for salient object detection

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Isprs Journal of Photogrammetry and Remote Sensing

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

Neural Networks Fail to Learn Periodic Functions and How to Fix It


GLIDE: a diffusion-based text-conditional image synthesis model

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

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

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Transformer models: an introduction and catalog

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models


Convert face dataset to masked dataset

Masked Face Recognition for Secure Authentication

Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19

Masked face recognition with convolutional visual self-attention network

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

Mapping the perception-space of facial expressions in the era of face masks

A Unified Framework for Masked and Mask-Free Face Recognition Via Feature Rectification

Adversarially Learning Occlusions by Backpropagation for Face Recognition


Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Denoising Diffusion Probabilistic Models

Diffusion Models Beat GANs on Image Synthesis

Conffusion: Confidence Intervals for Diffusion Models

Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Nerfstudio: A Modular Framework for Neural Radiance Field Development

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

LENS: Localization enhanced by NeRF synthesis

CLNeRF: Continual Learning Meets NeRF

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation

Proceedings of the 30th ACM International Conference on Multimedia

Towards Learning Neural Representations from Shadows

Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis


SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral)

Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks

International Journal of Computer Vision

SOTVerse: A User-defined Task Space of Single Object Tracking


AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Unsupervised Speech Decomposition via Triple Information Bottleneck

VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning

NVC-Net: End-to-End Adversarial Voice Conversion

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

How Far Are We from Robust Voice Conversion: A Survey

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion


Tools for biogas research in R: process biogas data and predict biogas production

Development and Validation of a Low-Cost Gas Density Method for Measuring Biochemical Methane Potential (BMP)


Ultraperformant reimplementation of SICER

epic2 efficiently finds diffuse domains in ChIP-seq data

Genome-wide analysis of the H3K27me3 epigenome and transcriptome in Brassica rapa


DeepOnto: A Python Package for Ontology Engineering with Deep Learning

Large language models as oracles for instantiating ontologies with
  domain-specific knowledge

Contextualized Structural Self-supervised Learning for Ontology Matching

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips


Tools to estimate Linear Time-Varying models in Julia

Machine Learning and System Identification for Estimation in Physical Systems

Identification of LTV Dynamical Models with Smooth or Discontinuous Time Evolution by means of Convex Optimization

Tangent-Space Regularization for Neural-Network Models of Dynamical Systems


An optimization-based multi-sensor state estimator

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

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

XTDrone: A Customizable Multi-rotor UAVs Simulation Platform

Learning Whole-Image Descriptors for Real-time Loop Detection andKidnap Recovery under Large Viewpoint Difference

Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops

GRADE: Generating Realistic Animated Dynamic Environments for Robotics Research

Formula Derivation and Analysis of the VINS-Mono


LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

A fast, complete, point cloud based loop closure for LiDAR odometry and mapping

Real-Time Localization and Colorful Three-Dimensional Mapping of Orchards Based on Multi-Sensor Fusion Using Extended Kalman Filter


Distribution package for the Prgressive Cactus multiple genome aligner.  Dependencies are linked as submodules

Comparative Annotation Toolkit (CAT) - simultaneous clade and personal genome annotation

Regulatory remodeling in the allo-tetraploid frog Xenopus laevis

Comparative assembly hubs: Web-accessible browsers for comparative genomics

Sequencing the Genome of Indian Flying Fox, Natural Reservoir of Nipah Virus, Using Hybrid Assembly and Conservative Secondary Scaffolding

Evolutionarily conserved non-protein-coding regions in the chicken genome harbor functionally important variation


MCScanX: Multiple Collinearity Scan toolkit X version. The most popular synteny analysis tool in the world!

De novo genome assembly of the potent medicinal plant Rehmannia glutinosa using nanopore technology

Computational and structural biotechnology journal

Comprehensive Comparative Analysis of the GATA Transcription Factors in Four Rosaceae Species and Phytohormonal Response in Chinese Pear (Pyrus bretschneideri) Fruit

Generation of a chromosome-scale genome assembly of the insect-repellent terpenoid-producing Lamiaceae species, Callicarpa americana

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

Genome-Wide Identification and Analysis of the NAC Transcription Factor Gene Family in Garden Asparagus (Asparagus officinalis)

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

Genome-wide characterization and expression analysis of α-amylase and β-amylase genes underlying drought tolerance in cassava


Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

Efficiently Identifying Task Groupings for Multi-Task Learning

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

Deep Model Transferability from Attribution Maps

Multitask Learning Strengthens Adversarial Robustness

Unveiling functions of the visual cortex using task-specific deep neural networks

Semantic scene descriptions as an objective of human vision

Task-specific vision models explain task-specific areas of visual cortex

Smart Multi-tenant Federated Learning


A Pythonic wrapper for the Wikipedia API

Elaborative Rehearsal for Zero-shot Action Recognition

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

Quantifying the Alignment of Graph and Features in Deep Learning

IEEE transactions on neural networks and learning systems

Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection

GeoGalactica: A Scientific Large Language Model in Geoscience

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

A Bimodal Network Approach to Model Topic Dynamics

From Compact Discs to Streaming: A Comparison of Eras within the Brazilian Market

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization

Higher-order rich-club phenomenon in collaborative research grant networks


OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.


InceptionTime: Finding AlexNet for Time Series Classification

InceptionTime: Finding AlexNet for time series classification

Time Series Extrinsic Regression

Deep learning for time series classification

Monash University, UEA, UCR Time Series Regression Archive

Towards Similarity-Aware Time-Series Classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning

Quantifying quality of class-conditional generative models in time series domain


Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Meta-Learning with Implicit Gradients

Teaching with Commentaries

OmniPrint: A Configurable Printed Character Synthesizer

Meta-Learning with Adjoint Methods

Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes

Few-Shot Text Classification with Global–Local Feature Information

Multi-step Estimation for Gradient-based Meta-learning


Toolkit for processing sequences in FASTA/Q formats

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq

A rapid and robust method for single cell chromatin accessibility profiling

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

SARS-CoV-2 evolution during treatment of chronic infection

Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome

Genome flux and stasis in a five millennium transect of European prehistory

A draft human pangenome reference

Resistance to Sharka in Apricot: Comparison of Phase-Reconstructed Resistant and Susceptible Haplotypes of ‘Lito’ Chromosome 1 and Analysis of Candidate Genes

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore


Spectroscopy Made Hard(er)

The Southern Stellar Stream Spectroscopic Survey (S^5): Overview,
  Target Selection, Data Reduction, Validation, and Early Science

Monthly Notices of the Royal Astronomical Society

The Southern Stellar Stream Spectroscopic Survey (S5): Chemical Abundances of Seven Stellar Streams

Detailed Abundances in the Ultra-faint Magellanic Satellites Carina II and III

Evidence from Disrupted Halo Dwarfs that r-process Enrichment via Neutron Star Mergers is Delayed by ≳500 Myr

Metal Mixing in the R-Process Enhanced Ultra-Faint Dwarf Galaxy Reticulum II

R-process-rich Stellar Streams in the Milky Way

S 5: The Destruction of a Bright Dwarf Galaxy as Revealed by the Chemistry of the Indus Stellar Stream

Metal-poor stars observed with the Magellan Telescope. IV. Neutron-capture element signatures in 27 main-sequence stars

SPORK That Spectrum: Increasing Detection Significances from High-resolution Exoplanet Spectroscopy with Novel Smoothing Algorithms

Chemical abundances of the Typhon stellar stream


Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

Visual Robot Task Planning

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

Training Frankenstein's Creature to Stack: HyperTree Architecture Search.


Rigorous computation of the endomorphism ring of a Jacobian

Sato-Tate groups of abelian threefolds

An inverse Jacobian algorithm for Picard curves

Isogenous hyperelliptic and non-hyperelliptic Jacobians with maximal complex multiplication


Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

CogNet: a Large-Scale Cognate Database

Zenodo (CERN European Organization for Nuclear Research)

A large and evolving cognate database

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE Journal on Selected Topics in Signal Processing

Using Social Media Background to Improve Cold-start Recommendation Deep Models

A General Method for Event Detection on Social Media

Predicting E-commerce Item Sales With Web Environment Temporal Background


Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Contrastive Learning for Unpaired Image-to-Image Translation

Unsupervised Cross-Domain Image Generation

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

The Spatially-Correlative Loss for Various Image Translation Tasks

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge

Unsupervised single-shot depth estimation using perceptual reconstruction

ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data

Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks


A TensorFlow Implementation of the Transformer: Attention Is All You Need

Attention Is All You Need

Semantic Neural Machine Translation using AMR

Transactions of the Association for Computational Linguistics

Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer

Ancient–Modern Chinese Translation with a New Large Training Dataset

Tackling Graphical NLP problems with Graph Recurrent Networks

Instance Explainable Temporal Network For Multivariate Timeseries

UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing


Convert HTML to Markdown-formatted text.

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering

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

TLAXCALA: a multilingual corpus of independent news

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models

An Empirical Study on Workflows and Security Policies in Popular GitHub Repositories


Baidu's open-source Sentiment Analysis System.

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph

Grammar Based Directed Testing of Machine Learning Systems

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

Local COVID-19 Severity and Social Media Responses: Evidence From China

IEEE access : practical innovations, open solutions

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation

A Multitask Learning Framework for Abuse Detection and Emotion Classification

How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback

Identification of tourists’ dynamic risk perception—the situation in Tibet

Humanities and Social Sciences Communications

Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)


Neural network visualization toolkit for tf.keras

Determining the Dark Matter distribution in galaxies with Deep Learning

Accurate staging of chick embryonic tissues via deep learning

Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning


A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

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

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Global Absence and Targeting of Protective Immune States in Severe COVID-19.

SARS-CoV-2 infection studies in lung organoids identify TSPAN8 as novel mediator

Systematic benchmarking of single-cell ATAC-sequencing protocols

Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease

Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles

Single-Cell RNA Sequencing of Tocilizumab-Treated Peripheral Blood Mononuclear Cells as an in vitro Model of Inflammation

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-experienced, checkpoint inhibitor colitis.


3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

TUMTraf V2X Cooperative Perception Dataset

ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection

Deep learning – promises for 3D nuclear imaging: a guide for biologists

A Survey of Robust 3D Object Detection Methods in Point Clouds


Landmark-based audio fingerprinting

Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents

Attention-Based Audio Embeddings for Query-by-Example

Detection and localization of partial audio matches in various application scenarios

Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example

Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting

Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content

Accuracy comparisons of fingerprint based song recognition approaches using very high granularity


Code and documentation to train Stanford's Alpaca models, and generate the data.

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Visual Instruction Tuning

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Efficient Memory Management for Large Language Model Serving with PagedAttention

Qwen Technical Report

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

LIMA: Less Is More for Alignment


Automatically exported from code.google.com/p/cdhit

The tuatara genome reveals ancient features of amniote evolution

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Genome sequences of three Aegilops species of the section Sitopsis reveal phylogenetic relationships and provide resources for wheat improvement

The Plant journal : for cell and molecular biology

Genes of the Pig, Sus scrofa, reconstructed with EvidentialGene

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Deepening of In Silico Evaluation of SARS-CoV-2 Detection RT-qPCR Assays in the Context of New Variants

Taxonomic and carbon metabolic diversification of Bathyarchaeia during its coevolution history with early Earth surface environment

Using artificial intelligence to document the hidden RNA virosphere

Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples


mmCIF support for hybrid/integrative models

New system for archiving integrative structures

Acta crystallographica. Section D, Structural biology

IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods.

RCSB Protein Data Bank: supporting research and education worldwide through explorations of experimentally determined and computationally predicted atomic level 3D biostructures


A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

TensoRF: Tensorial Radiance Fields

Zero-Shot Text-Guided Object Generation with Dream Fields

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

WIRE: Wavelet Implicit Neural Representations

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

Compressible-composable NeRF via Rank-residual Decomposition

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields


Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

End-to-end Autonomous Driving: Challenges and Frontiers

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars

OpenPodcar: an Open Source Vehicle for Self-Driving Car Research

MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility


[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


MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

Text Recognition in the Wild: A Survey

Text Prior Guided Scene Text Image Super-Resolution

Revisiting Scene Text Recognition: A Data Perspective


Official implementation of Diffusion Autoencoders

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation

Neural Implicit Morphing of Face Images

DisControlFace: Disentangled Control for Personalized Facial Image Editing

Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs


State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

High-Fidelity Audio Compression with Improved RVQGAN

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

Natural language guidance of high-fidelity text-to-speech with synthetic
  annotations

Moshi: a speech-text foundation model for real-time dialogue

APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum
  Encoding and Decoding

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

DASB -- Discrete Audio and Speech Benchmark

Masked Generative Video-to-Audio Transformers with Enhanced
  Synchronicity

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio
  Language Model

Multi-Source Music Generation with Latent Diffusion


SECOND for KITTI/NuScenes object detection

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

SECOND: Sparsely Embedded Convolutional Detection

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

What You See is What You Get: Exploiting Visibility for 3D Object Detection

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud


Transformers for Longer Sequences

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

Big Bird: Transformers for Longer Sequences

Long Range Arena: A Benchmark for Efficient Transformers

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Degendering Resumes for Fair Algorithmic Resume Screening


This  is a  Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

Deep Learning on FPGAs: Past, Present, and Future

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems

Development of JavaScript-based deep learning platform and application to distributed training


Climate aware CMS breaking web apps free from carbon emissions.


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

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

Decoupled Textual Embeddings for Customized Image Generation

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


Speech Enhancement Generative Adversarial Network in TensorFlow

SEGAN: Speech Enhancement Generative Adversarial Network

Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition

Towards Generalized Speech Enhancement with Generative Adversarial Networks

Deep Xi as a Front-End for Robust Automatic Speech Recognition

Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation

Blind Restoration of Real-World Audio by 1D Operational GANs


Astrocats module for the Open Supernova Catalog (OSC). Please use the issue tracker on this repo for all OSC issues.

An Open Catalog for Supernova Data

Oxygen and calcium nebular emission line relationships in core-collapse supernovae and Ca-rich transients

Monthly notices of the Royal Astronomical Society

Linking Extragalactic Transients and Their Host Galaxy Properties: Transient Sample, Multiwavelength Host Identification, and Database Construction

Collapsars as Sites of r-process Nucleosynthesis: Systematic Photometric Near-infrared Follow-up of Type Ic-BL Supernovae

Intermediate-luminosity Type IIP SN 2021gmj: a low-energy explosion with signatures of circumstellar material

Thermonuclear explosions as Type II supernovae


A Proof Strategy Language and Proof Script Generation for Isabelle/HOL

PaMpeR: Proof Method Recommendation System for Isabelle/HOL

Goal-Oriented Conjecturing for Isabelle/HOL

LiFtEr: Language to Encode Induction Heuristics for Isabelle/HOL

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2019

Faster Smarter Proof by Induction in Isabelle/HOL

PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021

SeLFiE: Modular Semantic Reasoning for Induction in Isabelle/HOL.

Definitional Quantifiers Realise Semantic Reasoning for Proof by Induction

Smart Induction for Isabelle/HOL (System Description)


Organelle Genome Assembly Toolkit (Chloroplast/Mitocondrial/ITS)

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

GetOrganelle: a simple and fast pipeline for de novo assembly of a complete circular chloroplast genome using genome skimming data

Evolutionary Comparisons of the Chloroplast Genome in Lauraceae and Insights into Loss Events in the Magnoliids

Plastid Genome Evolution in the Early-Diverging Legume Subfamily Cercidoideae (Fabaceae)

A systematic comparison of chloroplast genome assembly tools

The Complete Chloroplast Genomes of Two Lespedeza Species: Insights into Codon Usage Bias, RNA Editing Sites, and Phylogenetic Relationships in Desmodieae (Fabaceae: Papilionoideae)

The Complete Chloroplast Genome of a Key Ancestor of Modern Roses, Rosa chinensis var. spontanea, and a Comparison with Congeneric Species

Characteristics of the completed chloroplast genome sequence of Xanthium spinosum: Comparative analyses, identification of mutational hotspots and phylogenetic implications

Comparative Analyses of Euonymus Chloroplast Genomes: Genetic Structure, Screening for Loci With Suitable Polymorphism, Positive Selection Genes, and Phylogenetic Relationships Within Celastrineae

Phylogenomic analyses reveal intractable evolutionary history of a temperate bamboo genus (Poaceae: Bambusoideae)


Torrent Suite

Evaluation of Hybridization Capture Versus Amplicon‐Based Methods for Whole‐Exome Sequencing

Comprehensive gene panels provide advantages over clinical exome sequencing for Mendelian diseases

A new rhesus macaque assembly and annotation for next-generation sequencing analyses

Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity

KIAA0556 is a novel ciliary basal body component mutated in Joubert syndrome

Transient Disappearance of RAS Mutant Clones in Plasma: A Counterintuitive Clinical Use of EGFR Inhibitors in RAS Mutant Metastatic Colorectal Cancer

Addressing health disparities in Hispanic breast cancer: accurate and inexpensive sequencing of BRCA1 and BRCA2

Genetic architecture differences between pediatric and adult-onset inflammatory bowel diseases in the Polish population

Transcriptomic Analysis of Calcium Remodeling in Colorectal Cancer

International journal of molecular sciences

A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency


Enhanced hierarchical bag-of-word library for C++

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper

Adding Cues to Binary Feature Descriptors for Visual Place Recognition

Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching


Untangling Genomes of Novel Planctomycetal and Verrucomicrobial Species from Monterey Bay Kelp Forest Metagenomes by Refined Binning

High quality 3C de novo assembly and annotation of a multidrug resistant ST-111 Pseudomonas aeruginosa genome: Benchmark of hybrid and non-hybrid assemblers

Method development for cross-study microbiome data mining: Challenges and opportunities


The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

ReconBoost: Boosting Can Achieve Modality Reconcilement


Official Implementation of 'Fast AutoAugment' in PyTorch.

Fast AutoAugment

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets


Code for visualizing the loss landscape of neural nets

Visualizing the Loss Landscape of Neural Nets

Improving Generalization in Federated Learning by Seeking Flat Minima

Training Larger Networks for Deep Reinforcement Learning

Position-based Scaled Gradient for Model Quantization and Pruning

Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks

UPANets: Learning from the Universal Pixel Attention Neworks

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing

Semantic Segmentation of Skin Lesions using a Small Data Set

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media

On the Privacy Risks of Cell-Based NAS Architectures

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security


DexiNed: Dense EXtreme Inception Network for Edge Detection

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline

A Brief Analysis of the Dense Extreme Inception Network for Edge Detection


WaveRNN Vocoder + TTS

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

A Survey on Neural Speech Synthesis

TorchAudio: Building Blocks for Audio and Speech Processing

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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

Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions

Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion

Towards Robust Neural Vocoding for Speech Generation: A Survey

Score and Lyrics-Free Singing Voice Generation

Neural Dubber: Dubbing for Videos According to Scripts


Source code of the VirSorter tool, also available as an App on CyVerse/iVirus (https://de.iplantcollaborative.org/de/)

Review article: the human intestinal virome in health and disease

Application of Machine Learning in Microbiology

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Machine Learning Advances in Microbiology: A Review of Methods and Applications


[CVPR2024] DisCo: Referring Human Dance Generation in Real World

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

DisCo: Disentangled Control for Realistic Human Dance Generation

MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation


An implementation of the TrueSkill rating system for Python

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation

Workshop on Statistical Machine Translation

Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai

ISPRS International Journal of Geo-Information

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft

OpenSkill: A faster asymmetric multi-team, multiplayer rating system


A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

Turning a CLIP Model into a Scene Text Detector

MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining

Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting

Vision-Language Pre-Training for Boosting Scene Text Detectors

Scene Text Detection in Natural Images: A Review

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection


TableBank: A Benchmark Dataset for Table Detection and Recognition

Image-based table recognition: data, model, and evaluation

TableBank: Table Benchmark for Image-based Table Detection and Recognition

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

GFTE: Graph-based Financial Table Extraction

Deep learning for table detection and structure recognition: A survey

Business Document Information Extraction: Towards Practical Benchmarks


The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

A FAIR and AI-ready Higgs boson decay dataset

C++ Code Generation for Fast Inference of Deep Learning Models in ROOT/TMVA

Integration and Performance of New Technologies in the CMS Simulation

Modeling protein dynamics in Caenorhabditis elegans embryos reveals that the PLK-1 gradient relies on weakly coupled reaction–diffusion mechanisms

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

The ALICE Analysis Framework for LHC Run 3

GPU propagation and visualisation of particle collisions with accurate model of ALICE detector magnetic field

Extending ROOT through Modules

Energy reconstruction of the ATLAS Tile Calorimeter under high pile-up conditions using the Wiener filter


Dynamic hydrology-hydraulic water quality simulation model

Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures


Smart charging algorithms with REST API for electric vehicle fleets


Ramulator 2.0 is a modern, modular, extensible, and fast cycle-accurate DRAM simulator. It provides support for agile implementation and evaluation of new memory system designs (e.g., new DRAM standards, emerging RowHammer mitigation techniques). Described in our paper https://people.inf.ethz.ch/omutlu/pub/Ramulator2_arxiv23.pdf

Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator

Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions

International Symposium on High-Performance Computer Architecture

Understanding the Security Benefits and Overheads of Emerging Industry
  Solutions to DRAM Read Disturbance


Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Navigating to Objects Specified by Images

Practice Makes Perfect: Planning to Learn Skill Parameter Policies

One-shot Imitation Learning via Interaction Warping


Kraken taxonomic sequence classification system

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Algorithms and strategies in short‐read shotgun metagenomic reconstruction of plant communities

Re-analysis of metagenomic sequences from acute flaccid myelitis patients reveals alternatives to enterovirus D68 infection

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

The evolutionary mechanism of non-carbapenemase carbapenem-resistant phenotypes in Klebsiella spp

Diagnostic Value and Clinical Application of Metagenomic Next-Generation Sequencing for Infections in Critically Ill Patients

Molecular characterization of highly prevalent Escherichia coli and Escherichia marmotae resistant to extended-spectrum cephalosporins in European starlings (Sturnus vulgaris) in Tunisia

Bacterial and Genetic Features of Raw Retail Pork Meat: Integrative Analysis of Antibiotic Susceptibility, Whole-Genome Sequencing, and Metagenomics


A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

LAION-5B: An open large-scale dataset for training next generation image-text models

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

On Distillation of Guided Diffusion Models

Zero-shot Image-to-Image Translation

All are Worth Words: A ViT Backbone for Diffusion Models

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Adversarial Diffusion Distillation

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis


Deep count autoencoder for denoising scRNA-seq data

False signals induced by single-cell imputation

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

IDEAS: individual level differential expression analysis for single-cell RNA-seq data

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder

Imputation Methods for scRNA Sequencing Data

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation

Bayesian Non-linear Latent Variable Modeling via Random Fourier Features


brat rapid annotation tool (brat) - for all your textual annotation needs

Pre-train or Annotate? Domain Adaptation with a Constrained Budget

Predicting Critical Path of Labor Dispute Resolution in Legal Domain by Machine Learning Models Based on SHapley Additive exPlanations and Soft Voting Strategy

RTE: A Tool for Annotating Relation Triplets from Text

Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation


Tools for producing high-quality hourly generation and emissions data for U.S. electric grids


Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

Large Language Models for Code: Security Hardening and Adversarial Testing

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review

Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

ReduKtor: How We Stopped Worrying About Bugs in Kotlin Compiler

Classification of Documents Extracted from Images with Optical Character Recognition Methods

Wordflow: Social Prompt Engineering for Large Language Models

GeomDiff — an algorithm for differential geospatial vector data comparison

Open Geospatial Data, Software and Standards


VGGFace implementation with Keras Framework

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Face Recognition: Too Bias, or Not Too Bias?

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning

Deep Learning Approach for Screening Autism Spectrum Disorder in Children with Facial Images and Analysis of Ethnoracial Factors in Model Development and Application

Amora: Black-box Adversarial Morphing Attack

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

Diffusion Models, Image Super-Resolution And Everything: A Survey

Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems

Real-World Adversarial Examples involving Makeup Application

Face Super-Resolution Using Stochastic Differential Equations


Redbean: A fuzzy Bruijn graph approach to long noisy reads assembly

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

Fast and accurate long-read assembly with wtdbg2

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

HASLR: Fast Hybrid Assembly of Long Reads

Genome sequence of Malania oleifera, a tree with great value for nervonic acid production

Whole-genome sequencing and analysis of the Chinese herbal plant Gelsemium elegans

Chromosome-level reference genome of the jellyfish Rhopilema esculentum

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology

Long-read sequencing in human genetics


Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Adversarial Attack and Defense on Graph Data: A Survey

Meta-Learning Probabilistic Inference For Prediction

Unsupervised Learning via Meta-Learning

Few-Shot Learning with Metric-Agnostic Conditional Embeddings

Meta-Learning Requires Meta-Augmentation

Learning from Few Samples: A Survey

Task-Robust Model-Agnostic Meta-Learning

Adversarial Meta-Learning

AutoGraph: Imperative-style Coding with Graph-based Performance


A plugin to use Nvidia GPU in PySCF package

BAMBOO: a predictive and transferable machine learning force field
  framework for liquid electrolyte development

Python-Based Quantum Chemistry Calculations with GPU Acceleration


This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

Learning temporal coherence via self-supervision for GAN-based video generation

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Temporally Coherent GANs for Video Super-Resolution (TecoGAN).


Model API for GALACTICA

Galactica: A Large Language Model for Science

ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots

LlaSMol: Advancing Large Language Models for Chemistry with a
  Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews