neurips
There are 117 repositories under neurips topic.
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
YyzHarry/imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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)
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.
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
monk1337/resp
Fetch Academic Research Papers from different sources
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.
benedekrozemberczki/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
bknyaz/graph_attention_pool
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Allenpandas/Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Little-Podi/Transformer_Tracking
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
scaomath/galerkin-transformer
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
xliucs/MTTS-CAN
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
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.
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.
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.
SunghwanHong/Cost-Aggregation-transformers
Official implementation of CATs
Richarizardd/Self-Supervised-ViT-Path
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
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.
Rose-STL-Lab/dyffusion
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
jpthu17/EMCL
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
jacobmarks/awesome-neurips-2023
Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
vLAR-group/RayDF
🔥RayDF in PyTorch (NeurIPS 2023)
Cyanogenoid/dspn
[NeurIPS 2019] Deep Set Prediction Networks
xiyanghu/OSDT
Optimal Sparse Decision Trees
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"
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"
kamwoh/orthohash
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
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.
wvangansbeke/Revisiting-Contrastive-SSL
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
fjxmlzn/PacGAN
[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
WingsBrokenAngel/AIPaperCompleteDownload
Complete download for papers in various top conferences
kamwoh/DeepIPR
[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
egyptdj/stagin
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
WisconsinAIVision/visii
👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)