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TimeMIL. The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
★ 72DRA-GRPO. Official code for the paper: DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models
★ 24DeepDIH. Python
★ 17Flame_2_dataset. the codes are for the series CNN baselines tested in our wildfile flame detection dataset.
★ 13DH-GAN. The code for the paper: DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography
★ 9OTPrune. Official code for the paper: OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport
★ 6MIL-JigsawPuzzles. Official repo for ICCV'25 paper: Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
★ 3Incident-GNN-CP. The official code for the paper: Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
★ 2RD-DPP. The code for the paper: RD-DPP: Rate-Distortion Theory meets Determinantal Point Process to Diversify Learning Data Samples
★ 1DDPP. The implementation of the paper: Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
★ 1Network-level-safety-metrics. Some codes to extract network-level metrics for the paper: "Network-level safety metrics for overall traffic safety assessment: A case study"
★ 1LaMR. Python
★ 1AwesomeOPD. Awesome List for On-Policy Distillation
★ 784Agent0. [COLM'26 & ICML'26] Agent0 Series: Self-Evolving Agents from Zero Data
★ 1.2kDerf. [CVPR 2026] Official Implementation of Dynamic erf (Derf).
★ 151Awesome-Multimodal-Time-Series. A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
★ 227NN-MOBILENET. Code for the paper "nnMobileNet: Rethinking CNN for Retinopathy Research"
★ 109Trading-Interview-Questions. Guide on how to prepare for quant trading roles out of college
★ 987timesfm. TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
★ 27kSPPO. The official implementation of Self-Play Preference Optimization (SPPO)
★ 590QuantHarness. Official Repository for QuantHarness
★ 2.8kKnowledgeEditingPapers. Must-read Papers on Knowledge Editing for Large Language Models.
★ 1.2kAwesome-Multimodal-Token-Compression. [TMLR 2026] Survey: https://arxiv.org/pdf/2507.20198
★ 376Kronos. Kronos: A Foundation Model for the Language of Financial Markets
★ 35kLLMs-for-TS. Recent LLM-Based Time Series Forecasting Models with Code
★ 97lmms-eval. One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
★ 4.3kesci-data. Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
★ 382HiRef. Hierarchical Refinement: Optimal Transport to Infinity and Beyond
★ 20llm_interview_note. 主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
★ 15kEMOVA. Official PyTorch implementation of EMOVA in CVPR 2025 (https://arxiv.org/abs/2409.18042)
★ 81ProS. Python
★ 19DRA-GRPO. Official code for the paper: DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models
★ 24production-stack. vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
★ 2.5kSearchEngine. 搜索引擎原理
★ 1.9kmmllm-FT. Python
★ 3FSQ-pytorch. A Pytorch Implementation of Finite Scalar Quantization
★ 191VisualThinker-R1-Zero. Explore the Multimodal “Aha Moment” on 2B Model
★ 624generative-recommenders. Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
★ 2kopen-rs. [AAAI 2026] - Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"
★ 291Prompt-OT. Code for paper: Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
★ 6MST-LOF. Python
★ 3PiSSA. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
★ 429DoRA. [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
★ 986LlamaFactory. Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
★ 74ktiny-graphrag. Python
★ 43graphrag. A modular graph-based Retrieval-Augmented Generation (RAG) system
★ 35kSoRA. [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
★ 87Awesome-Low-Rank-Adaptation. Awesome-Low-Rank-Adaptation
★ 133awesome-LoRA. A curated list of Parameter Efficient Fine-tuning papers with a TL;DR
★ 13AD-LLM. [ACL Findings 2025] A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, with scripts and data for GPT-4 and Llama experiments.
★ 45HydraLoRA. [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
★ 240Awesome-MLLM-Hallucination. Papers about Hallucination in Multi-Modal Large Language Models (MLLMs)
★ 103CVinW_Readings. A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
★ 1.4kCall-for-Reviewers. This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
★ 1.2kICL_Modular_Arithmetic. Python
★ 19PromptKD. [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
★ 346PromptSRC. [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".
★ 286awesome-test-time-adaptation. Collection of awesome test-time (domain/batch/instance) adaptation methods
★ 1.3kscRNAseq_analysis_vignette. Tutorial for scRNA-seq data analysis beginners using R
★ 273TimeX. Time series explainability via self-supervised model behavior consistency
★ 57multimodal-prompt-learning. [CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
★ 817TimeMIL. The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
★ 72From_News_to_Forecast. This repository is for the paper entitled: From News to Forecast: Integrating Event Analysis in LLM-based Time Series Forecasting with Reflection (NeurIPS 2024)
★ 179EECS498-Deep-Learning-for-Computer-Vision. A course offered by Justin Johnson from the University of Michigan
★ 55DGR-MIL. Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
★ 158torchtune. PyTorch native post-training library
★ 5.8kAwesome-TimeSeries-SpatioTemporal-Diffusion-Model. A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
★ 1kdiffusion-models-tutorial. Experiment with diffusion models that you can run on your local jupyter instances
★ 67PANTHER. Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
★ 150scepter. SCEPTER is an open-source framework used for training, fine-tuning, and inference with generative models.
★ 549ScoreDiffusionModel. The Pytorch Tutorial of Score-based and Diffusion Model
★ 368generative-models. Generative Models by Stability AI
★ 27kConvTran. This is a PyTorch implementation of ConvTran
★ 177Incident-GNN-CP. The official code for the paper: Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
★ 2Q-Bench. ①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
★ 287MetaCLIP. NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024
★ 1.9kAwesome-Diffusion-Models. A collection of resources and papers on Diffusion Models
★ 12kAwesome-Video-Diffusion. A curated list of recent diffusion models for video generation, editing, and various other applications.
★ 5.7ktime-series-papers. An up-to-date list of time-series related papers in AI venues.
★ 436wgd. Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
★ 19SurvReLU. [CIKM '24] SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
★ 9Awesome-RWKV-in-Vision. A curated list of papers on the applications of RWKV in computer vision. Please raise an issue if you suggest new qualified project.
★ 243Scalable-JKO. Implementation for Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
★ 6Awesome_Imputation. Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data
★ 423pytorch_resnet_cifar10. Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
★ 1.4kProbTS. ProbTS is a benchmarking toolkit for time series forecasting.
★ 208ttt-lm-pytorch. Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
★ 1.4kKVT. Python
★ 37minirocket. MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
★ 341New-Grad-2024. 👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
★ 6.2kSelfReg-UNet. Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "
★ 62Reverse-Cross-Entropy. Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)
★ 48Neural-Thompson-Sampling. Study of the paper 'Neural Thompson Sampling' published in October 2020
★ 25NeuralTS. Python
★ 18SC-MIL. This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"
★ 12ModernTCN. This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
★ 442PatchTST. 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
★ 2.7kDiffusion-Models. 扩散模型原理和pytorch代码实现初学资料汇总
★ 1knash-finder. Find Nash equilibrium for all games
★ 31pytorch-ts. PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
★ 1.4kpeft. 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
★ 21kEfficient_Foundation_Model_Survey. Survey Paper List - Efficient LLM and Foundation Models
★ 266Time-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.
★ 13kloss-landscape. Code for visualizing the loss landscape of neural nets
★ 3.2kawesome-high-order-neural-network.
★ 55ML4RoadSafety. A dataset for traffic accident analysis in the US
★ 30travel. Traffic accident prediction using graph neural networks "TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks" (ACM SIGSPATIAL 2023)
★ 57TSFpaper. This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
★ 3.2kAwesome-Optimal-Transport-in-Deep-Learning. a collection of AWESOME things about Optimal Transport in Deep Learning
★ 354tabzilla. Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
★ 183PersonalizedFL. Personalized federated learning codebase for research
★ 414fml. FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
★ 37MarsFL. TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
★ 114MulimgViewer. MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
★ 1.4khexalattice. Create and plot hexagonal lattices
★ 84hexagonpy. Python script to convert an image into a grid of hexagon tiles
★ 13Sinkhorn-Barycenters. Sinkhorn Barycenters via Frank-Wolfe algorithm
★ 26Analysis-of-the-robustness-of-NMF-algorithms. Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
★ 11k-Medoid. Java
★ 31CudaOT. Repository for solving discrete optimal transport problems via Cplex, Sinkhorn, FastEMD and the GPU implementation of SparseSinkhorn,
★ 51PDL. Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
★ 103lightly. A python library for self-supervised learning on images.
★ 3.8kUn-Mix. Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
★ 150Contrastive_Learning_Papers. A list of contrastive Learning papers
★ 312lecam-gan. Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
★ 166google-research. Google Research
★ 38kbackdoor-learning-resources. A list of backdoor learning resources
★ 1.2kPyHessian. PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
★ 791pytorch-hessian-eigenthings. Efficient PyTorch Hessian eigendecomposition tools!
★ 473A-Model-Driven-Deep-Learning-Method-for-Normalized-Min-Sum-LDPC-Decoding. Python
★ 35pyldpc. Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.
★ 144dongbei. 东北方言编程语言
★ 2.7ktransfuser. [PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
★ 1.6krlkit. Collection of reinforcement learning algorithms
★ 2.9kSiamSE. Code for "Scale Equivariance Improves Siamese Tracking"
★ 43CVPR2026-Papers-with-Code. CVPR 2026 论文和开源项目合集
★ 23kINF502-Fall2020. HTML
★ 5DeepDIH. Python
★ 17