VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding


Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Language models can learn complex molecular distributions

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

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

Improving black-box optimization in VAE latent space using decoder uncertainty

Graph-based Molecular Representation Learning

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries

Learning with uncertainty for biological discovery and design


Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

All SMILES Variational Autoencoder

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in research metrics and analytics

BERT Learns (and Teaches) Chemistry

Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer

AI-Aided Search for New HIV-1 Protease Ligands

Deep2Lead: A distributed deep learning application for small molecule lead optimization


PyTorch package for the discrete VAE used for DALL·E.

Zero-Shot Text-to-Image Generation

BEiT: BERT Pre-Training of Image Transformers

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

Vector-quantized Image Modeling with Improved VQGAN

Corrupted Image Modeling for Self-Supervised Visual Pre-Training

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

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Rejecting Cognitivism: Computational Phenomenology for Deep Learning

DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical Documents


R-CNN: Regions with Convolutional Neural Network Features

Rich feature hierarchies for accurate object detection and semantic segmentation

Taking a Deeper Look at Pedestrians

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

Context-aware CNNs for person head detection

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

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

IEEE Transactions on Intelligent Transportation Systems

Analysing domain shift factors between videos and images for object detection

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops


TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Random Search and Reproducibility for Neural Architecture Search

NAS evaluation is frustratingly hard

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning

TextNAS: A Neural Architecture Search Space tailored for Text Representation

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture

IEEE transactions on neural networks and learning systems

Towards Oracle Knowledge Distillation with Neural Architecture Search

A Study of the Learning Progress in Neural Architecture Search Techniques

Long-term Reproducibility for Neural Architecture Search


The dataset for drone based detection and tracking is released, including both image/video, and annotations.

Detection and Tracking Meet Drones Challenge

Deep Learning for UAV-based Object Detection and Tracking: A Survey

IEEE Geoscience and Remote Sensing Magazine

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote-Sensing Images

Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Deep Learning Derived Object Detection and Tracking Technology Based on Sensor Fusion of Millimeter-Wave Radar/Video and Its Application on Embedded Systems

Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions

A novel algorithm for small object detection based on YOLOv4

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision

International Journal of Computer Vision

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8


中文生成式预训练模型

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems

Distinct but correct: generating diversified and entity-revised medical response

Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations

Natural Response Generation for Chinese Reading Comprehension

Dialogue Rewriting via Skeleton-Guided Generation

Proceedings of the AAAI Conference on Artificial Intelligence


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

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


Tackling the Generative Learning Trilemma with Denoising Diffusion GANs  https://arxiv.org/abs/2112.07804

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Restoration based Generative Models


Genome Improvement and Core Gene Set Refinement of Fugacium kawagutii

The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species

The genome of a hadal sea cucumber reveals novel adaptive strategies to deep-sea environments

Genomic Insights into Genetic Diploidization in the Homosporous Fern Adiantum nelumboides

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

Chromosomal-level genome assembly of the orchid tree Bauhinia variegata (Leguminosae; Cercidoideae) supports the allotetraploid origin hypothesis of Bauhinia

DNA research : an international journal for rapid publication of reports on genes and genomes

Comparative and population genomics of buckwheat species reveal key determinants of flavor and fertility

Chromosomal-level genome assembly of Melastoma candidum provides insights into trichome evolution

Chromosome-level genome assembly of watershield (Brasenia schreberi)

Genome sequencing revealed the red-flower trait candidate gene of a peach landrace


CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Learning Spatial Awareness to Improve Crowd Counting

C^3 Framework: An Open-source PyTorch Code for Crowd Counting

Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation

Critical Aspects of Person Counting and Density Estimation


Modern HTTP benchmarking tool

A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard

Understanding Open Source Serverless Platforms: Design Considerations and Performance

PACStack: an Authenticated Call Stack

Metaviz: interactive statistical and visual analysis of metagenomic data

An optimizing compiler for a purely functional web-application language

PROCEEDINGS OF THE 20TH ACM SIGPLAN INTERNATIONAL CONFERENCE ON FUNCTIONAL PROGRAMMING (ICFP'15)

Methodologies for Quantifying (Re-)randomization Security and Timing under JIT-ROP

Analyzing Open-Source Serverless Platforms: Characteristics and Performance (S)

Software Engineering and Knowledge Engineering

Tightly Seal Your Sensitive Pointers with PACTight

Dissecting Service Mesh Overheads

FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking


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.

Polycomb- and Methylation-Independent Roles of EZH2 as a Transcription Activator

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

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

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

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

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

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


Hierarchical Generation of Molecular Graphs using Structural Motifs

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

Hierarchical Graph-to-Graph Translation for Molecules

Graph-based Molecular Representation Learning

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

Data-Efficient Graph Grammar Learning for Molecular Generation


PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Pose


[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error

RIGID: A Training-free and Model-Agnostic Framework for Robust
  AI-Generated Image Detection


PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Masked Autoencoders Are Scalable Vision Learners

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

Label-Efficient Semantic Segmentation with Diffusion Models

Masked Autoencoders As Spatiotemporal Learners

MultiMAE: Multi-modal Multi-task Masked Autoencoders

Bridging the Gap to Real-World Object-Centric Learning

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

MILAN: Masked Image Pretraining on Language Assisted Representation


A Robust LiDAR-Inertial Odometry for Livox LiDAR

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Rail Vehicle Localization and Mapping With LiDAR-Vision-Inertial-GNSS Fusion

Simultaneous Localization of Rail Vehicles and Mapping of Environment With Multiple LiDARs

Semi-Elastic LiDAR-Inertial Odometry

RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion


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


Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

PubTables-1M: Towards comprehensive table extraction from unstructured documents

GriTS: Grid table similarity metric for table structure recognition

Aligning benchmark datasets for table structure recognition

From Text to Insight: Large Language Models for Materials Science Data Extraction


A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Contrastive Triple Extraction with Generative Transformer


Fast and accurately polish the genome generated by long reads.

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

The Cymbidium genome reveals the evolution of unique morphological traits

Genomic basis of homoploid hybrid speciation within chestnut trees

The Complete Mitogenome of Elymus sibiricus and Insights Into Its Evolutionary Pattern Based on Simple Repeat Sequences of Seed Plant Mitogenomes

Complete mitochondrial genome assembly and comparison of Camellia sinensis var. Assamica cv. Duntsa

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

A draft genome of the medicinal plant Cremastra appendiculata (D. Don) provides insights into the colchicine biosynthetic pathway

Chromosome-scale assembly and whole-genome sequencing of 266 giant panda roundworms provide insights into their evolution, adaptation and potential drug targets

A high-resolution genome of an euryhaline and eurythermal rhinogoby (Rhinogobius similis Gill 1895)

Comparative Analysis of the Complete Mitochondrial Genomes of Apium graveolens and Apium leptophyllum Provide Insights into Evolution and Phylogeny Relationships

International journal of molecular sciences


Model analyzer in PyTorch

Green AI

Distilling Knowledge from Object Classification to Aesthetics Assessment

Salient Object Detection via Dynamic Scale Routing

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

U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-Scale Attention Mechanism for Moving Object Segmentation

Off-Grid DOA Estimation Based on Circularly Fully Convolutional Networks (CFCN) Using Space-Frequency Pseudo-Spectrum

Large-scale photonic computing with nonlinear disordered media


Pipeline for processing inDrops sequencing data

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain

Population snapshots predict early haematopoietic and erythroid hierarchies

Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis

In vitro characterization of the human segmentation clock

Molecular and anatomical organization of the dorsal raphe nucleus

Platforms for Single-Cell Collection and Analysis

Cholinergic regulation of vascular endothelial function by human ChAT+ T cells

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

Systematic comparative analysis of single cell RNA-sequencing methods

Complex Autoinflammatory Syndrome Unveils Fundamental Principles of JAK1 Kinase Transcriptional and Biochemical Function

A scalable platform for the development of cell-type-specific viral drivers


Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

Med3D: Transfer Learning for 3D Medical Image Analysis

Models Genesis

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

A 3D generative model of pathological multi-modal MR images and segmentations

Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI

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

Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI


Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts

Robustness to Modification with Shared Words in Paraphrase Identification

Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions


"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation


Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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

Multi-Concept Customization of Text-to-Image Diffusion

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

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

Decoupled Textual Embeddings for Customized Image Generation

AnyPattern: Towards In-context Image Copy Detection


Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Defending Against Neural Fake News

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Automatic Detection of Machine Generated Text: A Critical Survey

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Authorship Attribution for Neural Text Generation

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

Counterfactual Memorization in Neural Language Models

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Pre-training Methods in Information Retrieval

Deepfake Text Detection: Limitations and Opportunities

Limitations of Autoregressive Models and Their Alternatives


4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments

3D landscape of Hepatitis B virus interactions with human chromatins

Regulation of MYB by distal enhancer elements in human myeloid leukemia

Benchmarking of 4C-seq pipelines based on real and simulated data


A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Hierarchical Graph Representation Learning with Differentiable Pooling

Deep Learning on Graphs: A Survey

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification

IEEE Transactions on Network Science and Engineering

State of the Art and Potentialities of Graph-level Learning

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

Contrastive Graph Few-Shot Learning

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


BiLSTM-CNN-CRF architecture for sequence tagging

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

Fine-Grained Named Entity Recognition in Legal Documents

Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches

From POS tagging to dependency parsing for biomedical event extraction

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding

Empirical Methods in Natural Language Processing

Language-Agnostic Syllabification with Neural Sequence Labeling

Recognizing Musical Entities in User-generated Content

Multi-Task Learning for Argumentation Mining


Automatic spike sorting up to 64 channels

Context-dependent signaling of coincident auditory and visual events in primary visual cortex

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

Cortical Output Is Gated by Horizontally Projecting Neurons in the Deep Layers

Olfactory bulb activity shapes the development of entorhinal-hippocampal coupling and associated cognitive abilities


An Empirical Study of Training Self-Supervised Vision Transformers

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

Medical Image Computing and Computer-Assisted Intervention

Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis

A General-Purpose Self-Supervised Model for Computational Pathology

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


Vision Transformer (ViT) in PyTorch

Attention Is All You Need

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

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

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

ADBench: Anomaly Detection Benchmark

Overinterpretation reveals image classification model pathologies

What do Vision Transformers Learn? A Visual Exploration

Hybrid Transformer Network for Deepfake Detection

Efficient neural codes naturally emerge through gradient descent learning

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations


Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

Weak adversarial networks for high-dimensional partial differential equations

Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations

Distributed learning machines for solving forward and inverse problems in partial differential equations

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

Principle-Driven Fiber Transmission Model Based on PINN Neural Network

Competitive Physics Informed Networks

Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation

AutoIP: A United Framework to Integrate Physics into Gaussian Processes


Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

Interpreting and Boosting Dropout from a Game-Theoretic View

MCDAL: Maximum Classifier Discrepancy for Active Learning

Characterizing Datapoints via Second-Split Forgetting

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly

NTK-SAP: Improving neural network pruning by aligning training dynamics

Pruning-aware Sparse Regularization for Network Pruning


Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction

Neural Inverse Text Normalization

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

Chinese Grammatical Correction Using BERT-based Pre-trained Model

Probing Multi-modal Machine Translation with Pre-trained Language Model

Meeting of the Association for Computational Linguistics

LIMSI @ WMT 2020

Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation

FJWU participation for the WMT20 Biomedical Translation Task

Integrating Pre-trained Language Model into Neural Machine Translation

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting


PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

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

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

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

Separating Skills and Concepts for Novel Visual Question Answering

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

Probing Contextual Language Models for Common Ground with Visual Representations

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge


An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

Multi-Omics Approaches for Revealing the Epigenetic Regulation of Histone H3.1 during Spermatogonial Stem Cell Differentiation In Vitro


Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Regularizing Meta-Learning via Gradient Dropout

Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction

Unsupervised Reinforcement Learning in Multiple Environments

p-Meta: Towards On-device Deep Model Adaptation

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

On the Practical Consistency of Meta-Reinforcement Learning Algorithms

Dynamic Subgoal-based Exploration via Bayesian Optimization

Collision Avoidance Robotics Via Meta-Learning (CARML)


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


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


Semantic query and text mining tool

A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text

Improved characterisation of clinical text through ontology-based vocabulary expansion

Towards similarity-based differential diagnostics for common diseases

Komenti: A semantic text mining framework

Multi-faceted Semantic Clustering With Text-derived Phenotypes

Exploring Binary Relations for Ontology Extension and Improved Adaptation to Clinical Text


Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

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

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

Human-Adversarial Visual Question Answering

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Separating Skills and Concepts for Novel Visual Question Answering

Learning Relation Alignment for Calibrated Cross-modal Retrieval

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations


Tools for plotting methylation data in various ways

Cas9 targeted enrichment of mobile elements using nanopore sequencing

Methylartist: tools for visualizing modified bases from nanopore sequence data

Extrachromosomal circular DNA and structural variants highlight genome instability in Arabidopsis epigenetic mutants

Single-molecule simultaneous profiling of DNA methylation and DNA-protein interactions with Nanopore-DamID


An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

GemNet: Universal Directional Graph Neural Networks for Molecules

Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Inverse Design of Next-generation Superconductors Using Data-driven Deep Generative Models

Crystal Structure Prediction by Joint Equivariant Diffusion


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

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


Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Adaptive Adversarial Attack on Scene Text Recognition

A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition


Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

MusicLM: Generating Music From Text

MuLan: A Joint Embedding of Music Audio and Natural Language

Dual PatchNorm


Statistical methods for forest genetic resources analysts

Accuracy and responses of genomic selection on key traits in apple breeding

Gene expression predictions and networks in natural populations supports the omnigenic theory

Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita.

SNP Genotyping with Target Amplicon Sequencing Using a Multiplexed Primer Panel and Its Application to Genomic Prediction in Japanese Cedar, Cryptomeria japonica (L.f.) D.Don

Seed Sourcing Strategies Considering Climate Change Forecasts: A Practical Test in Scots Pine

Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program

Genome-wide association analysis for drought tolerance and associated traits in faba bean (Vicia faba L.)

Genomic studies with preselected markers reveal dominance effects influencing growth traits in Eucalyptus nitens

Hybrid larch heterosis: for which traits and under which genetic control?

Estimating the Genetic Parameters of Flowering Time-Related Traits in a Miscanthus sinensis Population Tested with a Staggered-Start Design


Direct voxel grid optimization for fast radiance field reconstruction.

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field


The solution of team 'grt123' in DSB2017

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

IEEE transactions on neural networks and learning systems

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics

Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning

Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging

Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography

A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation


Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Conditional Simulation Using Diffusion Schrödinger Bridges

Generative Flows with Invertible Attentions

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach


ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Journey Towards Tiny Perceptual Super-Resolution

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Crop Disease Classification on Inadequate Low-Resolution Target Images

Model Specialization for the Use of ESRGAN on Satellite and Airborne Imagery

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images

4x and 10x Super Resolution Generator Models Trained With Planet CubeSat Satellite Imagery

Zenodo (CERN European Organization for Nuclear Research)


Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

What do you learn from context? Probing for sentence structure in contextualized word representations

Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer

Improving Relation Extraction by Pre-trained Language Representations

Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding

Conference on Computational Natural Language Learning


A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

Leveraging Rust Types for Modular Specification and Verification

Proceedings of the ACM on Programming Languages

How do programmers use unsafe rust?

Toward a Simulation Model Complexity Measure

Towards Immediate Feedback for Security Relevant Code in Development Environments


Bayesian Additive Regression Trees For Python

A Survey on Causal Inference

GraphITE: Estimating Individual Effects of Graph-structured Treatments

Machine learning applied to asteroid dynamics

Celestial Mechanics and Dynamical Astronomy

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization

Inferring Causal Effects Under Heterogeneous Peer Influence


An R package for microbial community analysis in an environmental context

CFTR dysregulation drives active selection of the gut microbiome

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Differential Profiles of Gut Microbiota and Metabolites Associated with Host Shift of Plutella xylostella

International journal of molecular sciences

Bacteriome and mycobiome and bacteriome-mycobiome interactions in head and neck squamous cell carcinoma

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

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

Closely Located but Totally Distinct: Highly Contrasting Prokaryotic Diversity Patterns in Raised Bogs and Eutrophic Fens

Influence of Physical-Chemical Soil Parameters on Microbiota Composition and Diversity in a Deep Hyperarid Core of the Atacama Desert

Landscape Composition and Soil Physical–Chemical Properties Drive the Assemblages of Bacteria and Fungi in Conventional Vegetable Fields

Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort


Aigents Java Core Platform

Social Media Sentiment Analysis for Cryptocurrency Market Prediction

A Reputation System for Marketplaces - Viability Assessment

Reputation System for Online Communities (in Russian)

Controlled Language and Baby Turing Test for General Conversational Intelligence


PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

End-to-End Object Detection with Transformers

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Label-Efficient Semantic Segmentation with Diffusion Models

Instance Localization for Self-supervised Detection Pretraining

Instance-Conditioned GAN

CompRess: Self-Supervised Learning by Compressing Representations

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

A Theory of Label Propagation for Subpopulation Shift

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning


Simple Online Realtime Tracking with a Deep Association Metric

Simple Online and Realtime Tracking with a Deep Association Metric

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

Sort and Deep-SORT Based Multi-Object Tracking for Mobile Robotics: Evaluation with New Data Association Metrics

Panoptic Segmentation Forecasting

Partial Scene Reconstruction for Close Range Photogrammetry Using Deep Learning Pipeline for Region Masking

Fetal Movement Detection and Anatomical Plane Recognition using YOLOv5 Network in Ultrasound Scans

European Journal of Science and Technology

Estimating catch rates in real time: Development of a deep learning based Nephrops (Nephrops norvegicus) counter for demersal trawl fisheries


Samples for CUDA Developers which demonstrates features in CUDA Toolkit

StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering

Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture

Supporting Unified Shader Specialization by Co-opting C++ Features

Proceedings of the ACM on Computer Graphics and Interactive Techniques

DxPU: Large-scale Disaggregated GPU Pools in the Datacenter

ACM Transactions on Architecture and Code Optimization (TACO)

Accelerated linear algebra compiler for computationally efficient numerical models: Success and potential area of improvement

Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame


Table structure recognition dataset of the paper: Complicated Table Structure Recognition

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

Complicated Table Structure 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


Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Feature Pyramid Networks for Object Detection

Aggregated Residual Transformations for Deep Neural Networks

Deep Clustering for Unsupervised Learning of Visual Features

BING: Binarized normed gradients for objectness estimation at 300fps

Face Detection with the Faster R-CNN

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Learning non-maximum suppression

Bounding Box Regression with Uncertainty for Accurate Object Detection

Learning Features by Watching Objects Move


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


Phinch is an open-source framework for visualizing biological data, funded by a grant from the Alfred P. Sloan foundation. This project represents an interdisciplinary collaboration between Pitch Interactive, a data visualization studio in Oakland, CA, and biological researchers at UC Riverside.

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

New Invasive Nemertean Species (Cephalothrix Simula) in England with High Levels of Tetrodotoxin and a Microbiome Linked to Toxin Metabolism

Phinch: An interactive, exploratory data visualization framework for metagenomic datasets

Unique Down to Our Microbes-Assessment of an Inquiry-Based Metagenomics Activity.

Journal of microbiology & biology education

biojs-io-biom, a BioJS component for handling data in Biological Observation Matrix (BIOM) format


Interactive Cytometry Data Analysis

mRNA vaccine-induced T cells respond identically to SARS-CoV-2 variants of concern but differ in longevity and homing properties depending on prior infection status

Oligodendrocyte precursor cells engulf synapses during circuit remodeling in mice

The extracellular domain of site-2-metalloprotease RseP is important for sensitivity to bacteriocin EntK1

macroH2A2 antagonizes epigenetic programs of stemness in glioblastoma

Cytokinetic diversity in mammalian cells is revealed by the characterization of endogenous anillin, Ect2 and RhoA


R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

Inference and analysis of cell-cell communication using CellChat

A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across Tissues

Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

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

Deciphering the endometrial niche of human thin endometrium at single-cell resolution

Context-aware deconvolution of cell-cell communication with Tensor-cell2cell

A human cell atlas of the pressure-induced hypertrophic heart

Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids

TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq

Establishment of a reference single-cell RNA sequencing dataset for human pancreatic adenocarcinoma

The injured sciatic nerve atlas (iSNAT), insights into the cellular and molecular basis of neural tissue degeneration and regeneration


Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Federated Learning: Challenges, Methods, and Future Directions

FLOP: Federated Learning on Medical Datasets using Partial Networks

An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

IEEE Transactions on Information Forensics and Security

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs

Federated Transfer Learning with Multimodal Data

Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service


Natural Questions: A Benchmark for Question Answering Research

Transactions of the Association for Computational Linguistics

Simple and Effective Multi-Paragraph Reading Comprehension

Unsupervised Question Answering by Cloze Translation

Meeting of the Association for Computational Linguistics

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

SberQuAD -- Russian Reading Comprehension Dataset: Description and
  Analysis

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

Language Model Pre-training for Hierarchical Document Representations

Comparative Analysis of Neural QA models on SQuAD


Download Datasets and Ground Truths:  https://github.com/TuSimple/tusimple-benchmark/issues/3

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

Deflating Dataset Bias Using Synthetic Data Augmentation

High-Definition Map Generation Technologies For Autonomous Driving

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving

A Fast and Robust Lane Detection Method Based on Semantic Segmentation and Optical Flow Estimation

A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future


Character Animation (AnimateAnyone, Face Reenactment)

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

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

Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer


Identifying viruses from metagenomic data by deep learning

Identifying viruses from metagenomic data using deep learning

Unraveling the functional dark matter through global metagenomics

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

Distribution Characteristics of Soil Viruses Under Different Precipitation Gradients on the Qinghai-Tibet Plateau

Current trends in RNA virus detection through metatranscriptome sequencing data


Neural Collaborative Filtering

Neural Collaborative Filtering

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Neural Collaborative Filtering vs. Matrix Factorization Revisited

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Conference on Information and Knowledge Management

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Sequential Scenario-Specific Meta Learner for Online Recommendation

Attentive Aspect Modeling for Review-aware Recommendation

Meta Matrix Factorization for Federated Rating Predictions


Faster R-CNN

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

Adaptive Object Detection Using Adjacency and Zoom Prediction

Applications of deep-learning approaches in horticultural research: a review

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Object proposal with kernelized partial ranking


StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Alias-Free Generative Adversarial Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

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

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis


Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

Is Conditional Generative Modeling all you need for Decision-Making?

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Guided Flows for Generative Modeling and Decision Making

Simple Hierarchical Planning with Diffusion

Diffusion World Model

DiffuserLite: Towards Real-time Diffusion Planning

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans


RISC-V processor emulator written in Rust+WASM


release version

De novo annotation and characterization of the translatome with ribosome profiling data

LncRNA-Encoded Peptide: Functions and Predicting Methods

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Normalizing Flows: An Introduction and Review of Current Methods

Do Deep Generative Models Know What They Don't Know?

On the Sentence Embeddings from Pre-trained Language Models

What makes fake images detectable? Understanding properties that generalize

Input complexity and out-of-distribution detection with likelihood-based generative models

Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Visual Studio Code

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models

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

Duplicate Bug Report Detection: How Far Are We?

An Empirical Study on Using Multi-Labels for Issues in GitHub

AutoPRTitle: A Tool for Automatic Pull Request Title Generation

The quasi-adiabatic relaxation of haloes in the IllustrisTNG and EAGLE cosmological simulations

DevReplay: Automatic Repair with Editable Fix Pattern

Personalized First Issue Recommender for Newcomers in Open Source Projects

Continuous and Secure Integration Framework for Smart Contracts

What's in a GitHub Repository? -- A Software Documentation Perspective

Hidden inheritance: an inline caching design for TypeScript performance

Proceedings of the ACM on Programming Languages


Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

Visual-Language Prompt Tuning with Knowledge-guided Context Optimization

Multitask Vision-Language Prompt Tuning

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?

Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization

Distribution-Aware Prompt Tuning for Vision-Language Models


Topic Modeling in Embedding Spaces

Topic Modeling in Embedding Spaces

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

Evaluating the Robustness of Embedding-Based Topic Models to OCR Noise

Zenodo (CERN European Organization for Nuclear Research)

Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data

Variational Gaussian Topic Model with Invertible Neural Projections


RHadoop

Statistical methods and computing for big data.

Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures

kamila: Clustering Mixed-Type Data in R and Hadoop

A Survey on Spatio-temporal Data Analytics Systems

A tm Plug-In for Distributed Text Mining in R

ROSA: R Optimizations with Static Analysis


an interactive viewer for populations of bacterial genomes linked by a phylogeny

Phandango: an interactive viewer for bacterial population genomics

Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Clinical and laboratory-induced colistin-resistance mechanisms in Acinetobacter baumannii

Genomic Insights of Multidrug-Resistant Escherichia coli From Wastewater Sources and Their Association With Clinical Pathogens in South Africa

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Genomic Analysis of Carbapenemase-Producing Extensively Drug-Resistant Klebsiella pneumoniae Isolates Reveals the Horizontal Spread of p18-43_01 Plasmid Encoding blaNDM-1 in South Africa

Isolation and identification of chlorate-reducing Hafnia sp. from milk


Automatically exported from code.google.com/p/ea-utils

Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease

An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations

Allelic Variation of MYB10 Is the Major Force Controlling Natural Variation in Skin and Flesh Color in Strawberry (Fragaria spp.) Fruit

Rapid defense responses in maize leaves induced by Spodoptera exigua caterpillar feeding

DPPA2/4 and SUMO E3 ligase PIAS4 opposingly regulate zygotic transcriptional program

Defining the root endosphere and rhizosphere microbiomes from the World Olive Germplasm Collection

New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes

Reduced microbial diversity in adult survivors of childhood acute lymphoblastic leukemia and microbial associations with increased immune activation

The sputum microbiome is distinct between COPD and health, independent of smoking history

Metagenomic Analysis of a Biphenyl-Degrading Soil Bacterial Consortium Reveals the Metabolic Roles of Specific Populations


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


End-to-end Neural Coreference Resolution

Higher-order Coreference Resolution with Coarse-to-fine Inference

BERT for Coreference Resolution: Baselines and Analysis

Strategies for Structuring Story Generation

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Question Rewriting for Conversational Question Answering

Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Knowledge-aware Pronoun Coreference Resolution


Destruction and Construction Learning for Fine-grained Image Recognition

Destruction and Construction Learning for Fine-Grained Image Recognition

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

A Multimodal Late Fusion Model for E-Commerce Product Classification


A python library that extracts data from various Starcraft II resources to power tools and services for the SC2 community.  Who doesn't want to hack on the games they play?

Attention Does Not Affect the Speed of Subjective Time, but Whether Temporal Information Guides Performance: A Large‐Scale Study of Intrinsically Motivated Timers in a Real‐Time Strategy Game

Learning to Identify Rush Strategies in StarCraft

Identifying Rush Strategies Employed in StarCraft II Using Support Vector Machines


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

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

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

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

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

From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

PowerPM: Foundation Model for Power Systems

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

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


Graph Convolutional Networks for Text Classification. AAAI 2019

A Survey on Text Classification: From Shallow to Deep Learning

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Graph Convolutional Network Based on Multi-Head Pooling for Short Text Classification

A semantic hierarchical graph neural network for text classification

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


Text classifier for Hierarchical Attention Networks for Document Classification

Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

Multi-label Categorization of Accounts of Sexism using a Neural Framework


ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

Large Language Models in Law: A Survey

AviationGPT: A Large Language Model for the Aviation Domain


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

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

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

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

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

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

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

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

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

Parallel Genetic Origin of Foot Feathering in Birds

Genomic consequences of domestication of the Siamese fighting fish


High-performance Terrain and Hydrology Analysis

Algal growth and weathering crust state drive variability in western Greenland Ice Sheet ice albedo

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

Parallel Priority-Flood depression filling for trillion cell digital elevation models on desktops or clusters

Gerrymandering and Compactness: Implementation Flexibility and Abuse

Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters

Glaciohydraulic seismic tremors on an Alpine glacier

A Procedure for Complete Census Estimation of Rooftop Photovoltaic Potential in Urban Areas

India’s Commitments to Increase Tree and Forest Cover: Consequences for Water Supply and Agriculture Production within the Central Indian Highlands

Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction

Algal growth and weathering crust structure drive variability in Greenland Ice Sheet ice albedo


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


Training framework for conditional imitation learning

Exploring the Limitations of Behavior Cloning for Autonomous Driving

On Offline Evaluation of Vision-based Driving Models

Label Efficient Visual Abstractions for Autonomous Driving

A Survey on Causal Reinforcement Learning


Grok open release

A Survey on Mixture of Experts

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers

A Large-Scale Exploration of μ-Transfer

Octopus v4: Graph of language models

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Demystifying Platform Requirements for Diverse LLM Inference Use Cases

A Closer Look into Mixture-of-Experts in Large Language Models

LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale


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

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


A biplot based on ggplot2

Distinctive Patterns of Transcription and RNA Processing for Human lincRNAs

Gut microbial composition in patients with psoriasis

Bisphenol A causes reproductive toxicity, decreases dnmt1 transcription, and reduces global DNA methylation in breeding zebrafish (Danio rerio)

Phenotypic plasticity and genetic control in colorectal cancer evolution

Brain composition in Heliconius butterflies, post-eclosion growth and experience dependent neuropil plasticity

Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer’s model mice

Brain Composition in Godyris zavaleta, a Diurnal Butterfly, Reflects an Increased Reliance on Olfactory Information

Phenomic and Physiological Analysis of Salinity Effects on Lettuce

Soil texture and environmental conditions influence the biogeochemical responses of soils to drought and flooding

Revealing the Variation and Stability of Bacterial Communities in Tomato Rhizosphere Microbiota


OpenAccess papers mined for Climate Change


Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

Data Poisoning Won't Save You From Facial Recognition

UnGANable: Defending Against GAN-based Face Manipulation

FACE-AUDITOR: Data Auditing in Facial Recognition Systems

Ulixes: Facial Recognition Privacy with Adversarial Machine Learning

Proceedings on Privacy Enhancing Technologies

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Face Recognition in the age of CLIP & Billion image datasets


maps identifiers and names to other identifiers and names

Nomer Corpus of Taxonomic Resources hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137


nosnoc is an open source software package for NOnSmooth Numerical Optimal Control.

NOSNOC: A Software Package for Numerical Optimal Control of Nonsmooth Systems

Finite Elements with Switch Detection for direct optimal control of nonsmooth systems

The Time-Freezing Reformulation for Numerical Optimal Control of Complementarity Lagrangian Systems with State Jumps

Continuous Optimization for Control of Hybrid Systems With Hysteresis via Time-Freezing

Solving Mathematical Programs with Complementarity Constraints Arising in Nonsmooth Optimal Control

FESD-J: Finite Elements with Switch Detection for numerical optimal control of rigid bodies with impacts and Coulomb friction

Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems with Set-Valued Step Functions

Finite Elements with Switch Detection for numerical optimal control of nonsmooth dynamical systems with set-valued heaviside step functions


Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Pix2seq: A Language Modeling Framework for Object Detection

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

A Unified Sequence Interface for Vision Tasks

On the Importance of Noise Scheduling for Diffusion Models

A Generalist Framework for Panoptic Segmentation of Images and Videos

Scalable Adaptive Computation for Iterative Generation

FIT: Far-reaching Interleaved Transformers


A large-scale face dataset for face parsing, recognition, generation and editing.

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

EditGAN: High-Precision Semantic Image Editing

General Facial Representation Learning in a Visual-Linguistic Manner

Toward Realistic Face Photo–Sketch Synthesis via Composition-Aided GANs

E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

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

PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor

Linear Semantics in Generative Adversarial Networks

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs

Neural Optimal Transport with General Cost Functionals

Thousand to One: Semantic Prior Modeling for Conceptual Coding


GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Autoencoding Under Normalization Constraints

Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data


I-MAD: Interpretable malware detector using Galaxy Transformer

Cryptographic Software IP Protection without Compromising Performance or Timing Side-channel Leakage

ACM Transactions on Architecture and Code Optimization (TACO)

Code Obfuscation for the C/C++ Language


Trefle is a botanical JSON REST API for plants species, allowing you to search and query over all the registered species, and build the next gardening apps and farming robots.


A torch implementation of http://arxiv.org/abs/1511.06434

Generative Adversarial Text to Image Synthesis

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Invertible Conditional GANs for image editing

Learning What and Where to Draw

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Adversarial nets with perceptual losses for text-to-image synthesis

Generative Art: Between the Nodes of Neuron Networks


【EMNLP 2024】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Explainable Multimodal Emotion Reasoning

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


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

Graph Self-Supervised Learning: A Survey

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

G-Mixup: Graph Data Augmentation for Graph Classification

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Prototypical Graph Contrastive Learning

Robust Contrastive Learning against Noisy Views

Graph-based Molecular Representation Learning

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

Imbalanced Graph Classification via Graph-of-Graph Neural Networks


Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

CogView: Mastering Text-to-Image Generation via Transformers

TheoremQA: A Theorem-driven Question Answering dataset

Evaluating Large Language Models for Radiology Natural Language Processing

TransGPT: Multi-modal Generative Pre-trained Transformer for
  Transportation


[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

A General-Purpose Self-Supervised Model for Computational Pathology

An open dataset for intelligent recognition and classification of abnormal condition in longwall mining

Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities

Champion Solution for the WSDM2023 Toloka VQA Challenge


TRI-ML Monocular Depth Estimation Repository

3D Packing for Self-Supervised Monocular Depth Estimation

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion

Monocular Depth Estimation for Soft Visuotactile Sensors


Record the CPU and memory activity of a process :chart_with_upwards_trend:

Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations

Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model

State-space construction of Hybrid Petri nets with multiple stochastic firings

Efficient Approach for Anomaly Detection in IoT Using System Calls

Towards an Open Format for Scalable System Telemetry

Pip-MPU: Formal Verification of an MPU-Based Separationkernel for Constrained Devices


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

FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

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


Code for the paper "Improved Techniques for Training GANs"

Improved Techniques for Training GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Generative Modeling by Estimating Gradients of the Data Distribution

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

PacGAN: The power of two samples in generative adversarial networks

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reducing Noise in GAN Training with Variance Reduced Extragradient

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Calibrating Energy-based Generative Adversarial Networks

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation


Painter & SegGPT Series: Vision Foundation Models from BAAI

SegGPT: Segmenting Everything In Context

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

UPOCR: Towards Unified Pixel-Level OCR Interface

Tumor segmentation on whole slide images: training or prompting?


A family of diffusion models for text-to-audio generation.

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through
  Direct Preference Optimization

Improving Text-To-Audio Models with Synthetic Captions


Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Sequence-to-Sequence Learning as Beam-Search Optimization

Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization

Object-oriented backdoor attack against image captioning

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation

Findings of the Association for Computational Linguistics: EMNLP 2022

Neural Encoding and Interpretation of High-Level Visual Cortices Based on fMRI Using Image Caption Features

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation

vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM


qcat is a Python command-line tool for demultiplexing Oxford Nanopore reads from FASTQ files.

COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Genomic monitoring of SARS-CoV-2 uncovers an Nsp1 deletion variant that modulates type I interferon response

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Ultra-fast deep-learned CNS tumour classification during surgery

High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation

Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread

MinION-Based DNA Barcoding of Preserved and Non-Invasively Collected Wildlife Samples


A toolbox for skeleton-based action recognition.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Revisiting Skeleton-based Action Recognition

PYSKL: Towards Good Practices for Skeleton Action Recognition

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features


Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

DeepLandscape: Adversarial Modeling of Landscape Video

A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions

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

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images


Geometric Computer Vision Library for Spatial AI

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

Focal Loss for Dense Object Detection

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Segment Anything

Loss Functions for Neural Networks for Image Processing

LoFTR: Detector-Free Local Feature Matching with Transformers

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

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Making Convolutional Networks Shift-Invariant Again


Mesh parameterization / UV unwrapping library

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

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

Extracting Triangular 3D Models, Materials, and Lighting From Images

TEXTure: Text-Guided Texturing of 3D Shapes

Text-To-4D Dynamic Scene Generation

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

Texture Generation on 3D Meshes with Point-UV Diffusion

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models


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


Structural variation and indel detection by local assembly

SvABA: genome-wide detection of structural variants and indels by local assembly

Genomic aberrations after short-term exposure to colibactin-producing E. coli transform primary colon epithelial cells

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers


Phylogenetic and taxonomic analysis for genomes and metagenomes

MetAMOS: a modular and open source metagenomic assembly and analysis pipeline

Phylogeny of Bacterial and Archaeal Genomes Using Conserved Genes: Supertrees and Supermatrices

Machine learning for metagenomics: methods and tools

Single Clinical Isolates from Acute Uncomplicated Urinary Tract Infections Are Representative of Dominant In Situ Populations


Actuator line modeling extension library for OpenFOAM.

Implementation and application of the actuator line model by OpenFOAM for a vertical axis wind turbine

IOP Conference Series: Materials Science and Engineering


InstructPix2Pix: Learning to Follow Image Editing Instructions

Instruction Tuning for Large Language Models: A Survey

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

Collaborative Score Distillation for Consistent Visual Synthesis

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs


Core data gathering, validation, processing, and reporting package for the Solar Forecast Arbiter


Extract catalogs of sources from astronomical images

A Tidal Disruption Event Candidate Discovered in the Active Galactic Nucleus SDSS J022700.77-042020.6

The Gravity Collective: A Search for the Electromagnetic Counterpart to the Neutron Star–Black Hole Merger GW190814

ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data

High Confidence Optical Confirmations among the High Signal-to-noise Planck Cluster Candidates

Weak-lensing detection of intracluster filaments in the Coma cluster

Primordial Rotating Disk Composed of ≥15 Dense Star-Forming Clumps at Cosmic Dawn

Weak-lensing Analysis of the Complex Cluster Merger A746 with Subaru/Hyper Suprime-Cam

A synthetic Roman Space Telescope High-Latitude Time-Domain Survey: supernovae in the deep field

FAST-ASKAP Synergy: Quantifying Coexistent Tidal and Ram Pressure Strippings in the NGC 4636 Group

Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology


R-FCN with joint training and python support

CoupleNet: Coupling Global Structure with Local Parts for Object Detection

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

IEEE Transactions on Geoscience and Remote Sensing

Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Cognitive Deep Machine Can Train Itself


An R package to flexible rearrange, reshape and aggregate data

Changes in Species Diversity Patterns and Spatial Heterogeneity during the Secondary Succession of Grassland Vegetation on the Loess Plateau, China

Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye

Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints

Snapshots of human anatomy, locomotion, and behavior from Late Pleistocene footprints at Engare Sero, Tanzania

Genome-wide discovery, and computational and transcriptional characterization of an AIG gene family in the freshwater snail Biomphalaria glabrata, a vector for Schistosoma mansoni

RNA Sequencing (RNA-Seq) Reveals Extremely Low Levels of Reticulocyte-Derived Globin Gene Transcripts in Peripheral Blood From Horses (Equus caballus) and Cattle (Bos taurus)

An educator's perspective of the tidyverse

Development and Evaluation of a Commercial Direct-Fed Microbial (Zymospore®) on the Fecal Microbiome and Growth Performance of Broiler Chickens under Experimental Challenge Conditions

Animals : an open access journal from MDPI

A Novel Primer Mixture for GH48 Genes: Quantification and Identification of Truly Cellulolytic Bacteria in Biogas Fermenters

Prognostic value and immunological role of cathepsin S gene in pan‑cancer


Racmacs R package for performing antigenic cartography

Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants

Deep immunological imprinting due to the ancestral spike in the current bivalent COVID-19 vaccine

Bivalent COVID-19 mRNA booster vaccination (BA.1 or BA.4/BA.5) increases neutralization of matched Omicron variants

Distinct patterns of SARS-CoV-2 BA.2.87.1 and JN.1 variants in immune evasion, antigenicity, and cell-cell fusion

Characteristics of JN.1-derived SARS-CoV-2 subvariants SLip, FLiRT, and KP.2 in neutralization escape, infectivity and membrane fusion

Emergent variant modeling of the serological repertoire to norovirus in young children


The official Pytorch implementation of OCNet, OCRNet, and SegFix.

OCNet: Object Context Network for Scene Parsing

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

Interlaced Sparse Self-Attention for Semantic Segmentation

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with
  Foundation Models

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch


A text generation benchmarking platform

Texygen: A Benchmarking Platform for Text Generation Models

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs

Jointly Measuring Diversity and Quality in Text Generation Models

Towards Controllable and Personalized Review Generation

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation

DGSAN: Discrete Generative Self-Adversarial Network

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

Tailoring Language Generation Models under Total Variation Distance

Sequence Generation with Guider Network


Torch-7 for Android

AI Benchmark: Running Deep Neural Networks on Android Smartphones

CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms


Instance-aware Semantic Segmentation via Multi-task Network Cascades

Convolutional Feature Masking for Joint Object and Stuff Segmentation

Pixelwise Instance Segmentation with a Dynamically Instantiated Network

Holistic, Instance-Level Human Parsing


Visualization of a correlation matrix using ggplot2

Regulation of Hippo signaling and triple negative breast cancer progression by an ubiquitin ligase RNF187

Lung gene expression and single cell analyses reveal two subsets of idiopathic pulmonary fibrosis (IPF) patients associated with different pathogenic mechanisms

Fine-Scale Map Reveals Highly Variable Recombination Rates Associated with Genomic Features in the Eurasian Blackcap

Integrative Longitudinal Analysis of Metabolic Phenotype and Microbiota Changes During the Development of Obesity

Frontiers in cellular and infection microbiology


Open Network Operating System

A survey on data plane programming with P4: Fundamentals, advances, and applied research

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

QoS improvement with an optimum controller selection for software-defined networks

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

Towards Automated Generation of Smart Grid Cyber Range for Cybersecurity Experiments and Training

Reliable optical networks with ODTN, resiliency and failover in data plane and control plane

Checking-in on Network Functions

Proceedings of the Applied Networking Research Workshop


MLBox is a powerful Automated Machine Learning python library.

AutoML to Date and Beyond: Challenges and Opportunities

Automated Machine Learning: State-of-The-Art and Open Challenges

Automated Machine Learning on Graphs: A Survey

Testing the Robustness of AutoML Systems

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine

MolFM: A Multimodal Molecular Foundation Model

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

Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning

A Review of Large Language Models and Autonomous Agents in Chemistry

Large Language Models for Medicine: A Survey

LangCell: Language-Cell Pre-training for Cell Identity Understanding


An Open Platform for National Electricity Market Data


Context-sensitive ranking and choice in Python with PyTorch

Deep Architectures for Learning Context-dependent Ranking Functions

Learning context-dependent choice functions

Transformer Choice Net: A Transformer Neural Network for Choice Prediction


optimization routines for hyperparameter tuning

Benchmark and Survey of Automated Machine Learning Frameworks

Easy Hyperparameter Search Using Optunity

Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning

Semantic Pleonasm Detection

North American Chapter of the Association for Computational Linguistics

Advances in Complex Systems and Their Applications to Cybersecurity


Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Suitability of GWAS as a Tool to Discover SNPs Associated with Tick Resistance in Cattle: A Review

Novel Risk Associations between microRNA Polymorphisms and Gastric Cancer in a Chilean Population

International journal of molecular sciences


Bayesian inference in HSMMs and HMMs

Bayesian nonparametric hidden semi-Markov models

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches

Sniff-synchronized, gradient-guided olfactory search by freely moving mice

Bayesian Nonparametric Hidden Semi-Markov Models

Segmenting accelerometer data from daily life with unsupervised machine learning

Unsupervised Incremental Learning and Prediction of Music Signals

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

Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series


A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

Two-Stream Network for Sign Language Recognition and Translation

Natural Language-Assisted Sign Language Recognition

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment

Towards Online Continuous Sign Language Recognition and Translation

A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars


[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Non-local Neural Networks

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices

International Conference on Computer Vision

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Class-Incremental Learning for Action Recognition in Videos

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos

Video Moment Localization using Object Evidence and Reverse Captioning


Finder of Somatic Fusion Genes in RNA-seq data

Discovering and understanding oncogenic gene fusions through data intensive computational approaches

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

Gene fusions AHRR-NCOA2, NCOA2-ETV4, ETV4-AHRR, P4HA2-TBCK, and TBCK-P4HA2 resulting from the translocations t(5;8;17)(p15;q13;q21) and t(4;5)(q24;q31) in a soft tissue angiofibroma

Intra-tumour heterogeneity of diffuse large B-cell lymphoma involves the induction of diversified stroma-tumour interfaces

Prioritisation of structural variant calls in cancer genomes

Genome-wide transcriptome profiling of ex-vivo precision-cut slices from human pancreatic ductal adenocarcinoma

The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies

Identification of novel cyclin gene fusion transcripts in endometrioid ovarian carcinomas

DEK-NUP214-Fusion Identified by RNA-Sequencing of an Acute Myeloid Leukemia with t(9;12)(q34;q15)

Identification of SETD2-NF1 fusion gene in a pediatric spindle cell tumor with the chromosomal translocation t(3;17)(p21;q12)


Gene cluster comparison figure generator

clinker & clustermap.js: Automatic generation of gene cluster comparison figures

Nanangenines: drimane sesquiterpenoids as the dominant metabolite cohort of a novel Australian fungus, Aspergillus nanangensis

Circulating androgen regulation by androgen-catabolizing gut bacteria in male mouse gut

Genomic Stability and Genetic Defense Systems in Dolosigranulum pigrum, a Candidate Beneficial Bacterium from the Human Microbiome

The CbbQO-type rubisco activases encoded in carboxysome gene clusters can activate carboxysomal form IA rubiscos

Comparative Analysis of L-Fucose Utilization and Its Impact on Growth and Survival of Campylobacter Isolates

Genomic Characterization of IMP-Producing Pseudomonas aeruginosa in Bulgaria Reveals the Emergence of IMP-100, a Novel Plasmid-Mediated Variant Coexisting with a Chromosomal VIM-4

Thermophilin 13: In Silico Analysis Provides New Insight in Genes Involved in Bacteriocin Production

A novel variant of the Listeria monocytogenes type VII secretion system EssC component is associated with an Rhs toxin