neurips

There are 154 repositories under neurips topic.

  • FoundationVision/VAR

    [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

    Language:Jupyter Notebook8.5k100161544

  • paperswithcode/releasing-research-code

    Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

    2.8k506735

  • oneTaken/awesome_deep_learning_interpretability

    深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

    761272124

  • YyzHarry/imbalanced-semi-self

    [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

    Language:Python7581324118

  • yarkable/Awesome-Computer-Vision-Paper-List

    This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

    Language:Python74211280

  • taco-group/4KAgent

    [NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!

    Language:Python61950428

  • SimonKohl/probabilistic_unet

    A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

    Language:Jupyter Notebook561181499

  • Little-Podi/Collaborative_Perception

    This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

    54324861

  • microsoft/multilspy

    multilspy is a lsp client library in Python intended to be used to build applications around language servers.

    Language:Python47755483

  • monk1337/resp

    Fetch Academic Research Papers from different sources

    Language:Python4524549
  • gradient-descent-the-ultimate-optimizer

    kach/gradient-descent-the-ultimate-optimizer

    Code for our NeurIPS 2022 paper

    Language:Python3694021

  • Allenpandas/Reinforcement-Learning-Papers

    📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

    34712335

  • Little-Podi/Transformer_Tracking

    This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

    33912131
  • AttentionWalk

    benedekrozemberczki/AttentionWalk

    A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

    Language:Python3257948
  • academic-project-page-template-vue

    JunyaoHu/academic-project-page-template-vue

    A vue-based project page template for academic papers. (in development) https://junyaohu.github.io/academic-project-page-template-vue

    Language:Vue29511523

  • bknyaz/graph_attention_pool

    Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

    Language:Jupyter Notebook2866548

  • microsoft/monitors4codegen

    Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.

    Language:Python2757432

  • scaomath/galerkin-transformer

    [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations

    Language:Python25241028

  • amazon-science/unconditional-time-series-diffusion

    Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

    Language:Python23341336

  • Rose-STL-Lab/dyffusion

    [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

    Language:Python2202826

  • daskol/typst-templates

    A list of paper templates in the area of machine learning.

    Language:Typst19721416

  • xliucs/MTTS-CAN

    Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

    Language:Python19473555

  • black-yt/WeatherGFT

    [NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

    Language:Python1868715

  • choyingw/Awesome-Monocular-Depth

    A curated list of recent monocular depth estimation papers

    183826

  • neerajwagh/eeg-gcnn

    Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

    Language:Python18031232

  • chenchongthu/ENMF

    This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

    Language:Python1534828

  • jpthu17/EMCL

    [NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

    Language:Python1412410

  • Richarizardd/Self-Supervised-ViT-Path

    Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

    Language:Jupyter Notebook1404720

  • M-3LAB/Real3D-AD

    [NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

    Language:Python1383149

  • SunghwanHong/Cost-Aggregation-transformers

    Official implementation of CATs

    Language:Python135101411

  • hila-chefer/RobustViT

    [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

    Language:Jupyter Notebook1333214

  • kaiwenzha/Rank-N-Contrast

    [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

    Language:Python1261711

  • jacobmarks/awesome-neurips-2023

    Conference schedule, top papers, and analysis of the data for NeurIPS 2023!

    Language:Jupyter Notebook121207

  • WisconsinAIVision/YoLLaVA

    🌋👵🏻 Yo'LLaVA: Your Personalized Language and Vision Assistant

    Language:Python1171148

  • 12wang3/rrl

    The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

    Language:Python11421838

  • LightersWang/Awesome-Active-Learning-for-Medical-Image-Analysis

    [MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

    Language:Python114436