neurips

There are 6 repositories under neurips topic.

FoundationVision / VAR
[NeurIPS 2024 Oral][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!
auto-regressive-model autoregressive-models diffusion-models generative-ai generative-model gpt gpt-2 image-generation large-language-models neurips transformers vision-transformer
Language:Python 4245
paperswithcode / releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
awesome-list machine-learning neurips neurips-2020
2584
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)
awesome awesome-list chainer computer-vision cvpr deep-learning eccv iccv iclr icml interpretability keras matlab neural-network neurips nlp papers pytorch tensorflow torch
740
YyzHarry / imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
class-imbalance imbalanced-classification imbalanced-data imbalanced-learning long-tail long-tailed-recognition neurips neurips-2020 self-supervised-learning semi-supervised-learning unlabeled-data
Language:Python 736
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.
cvpr iccv nips computer-vision artificial-intelligence paper eccv neurips icml iclr ijcai deep-learning acmmm aaai wacv bmvc accv2020 accv2018 machine-learning awesome-list
Language:Python 664
SimonKohl / probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
generative-models neurips neurips-2018 nips nips-2018 semantic-segmentation u-net variational-autoencoders variational-inference
Language:Jupyter Notebook 546
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.
autonomous-driving awesome-list collaborative-perception cooperative-perception corl cvpr eccv iccv iclr multi-agent-perception multi-agent-system neurips paper-list v2i v2v v2x
404
monk1337 / resp
Fetch Academic Research Papers from different sources
acl acl2021 arxiv arxiv-api arxiv-papers citations connected-papers cvf-conference download-citations google-api google-scholar google-scholar-crawler google-scholar-scrapper ijcai neurips neurips-2022 openreview pmlr related-articles semantic-scholar
Language:Python 392
gradient-descent-the-ultimate-optimizer
kach / gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
deep-learning differentiable-programming machine-learning neurips neurips-2022 pytorch
Language:Python 361
AttentionWalk
benedekrozemberczki / AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
attention deep-learning deepwalk graph-attention graph-neural-networks graph-representation-learning implicit-factorization machine-learning matrix-factorization neurips neurips-2018 nips node2vec pytorch sklearn structural-attention tensorflow torch walklet word2vec
Language:Python 320
Allenpandas / Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
aaai artificial-intelligence deep-reinforcement-learning dqn hierarchical-reinforcement-learning icml ijcai imitation-learning meta-reinforcement-learning multi-agent-reinforcement-learning neurips offline-reinforcement-learning policy-gradient q-learning reinforcement-learning reinforcement-learning-conferences reinforcement-learning-conferences-papers reinforcement-learning-paper reinforcement-learning-papers rl-papers
301
bknyaz / graph_attention_pool
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
graph graph-neural-networks pytorch neurips neurips-2019 attention-mechanism attention pooling pytorch-geometric
Language:Jupyter Notebook 282
Little-Podi / Transformer_Tracking
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
awesome-list cvpr eccv iccv neurips ob object-tracking paper-list single-object-tracking tracking transformer visual-tracking
270
scaomath / galerkin-transformer
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
attention attention-mechanism deep-learning neurips partial-differential-equations pytorch transformer
Language:Python 221
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.
ai ai4code codegen dataset huggingface-transformers language-server-client language-server-protocol code-completion code-generation large-language-models program-synthesis neurips-2023 neurips transformer code-analysis lsp lsp-client artificial-intelligence llm
Language:Python 204
xliucs / MTTS-CAN
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
cardiovascular computer-vision deep-learning healthcare mobilehealth neurips neurips-2020 physiological-signals physiologicalsensing rppg mobile-computing on-device-ai on-device-ml ubiquitous-computing remote-physiological-measurement ppg
Language:Python 170
black-yt / WeatherGFT
[NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
ai-for-earth ai-for-science pde physics prediction weather neurips neurips-2024
Language:Python 158
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.
graph-neural-networks eeg-classification eeg-signals-processing deep-learning machine-learning eeg eeg-signals convolutional-network eeg-gcnn neurips neurips-2020 ml4h dgl-graph pytorch
Language:Python 158
Rose-STL-Lab / dyffusion
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
deep-learning diffusion diffusion-models ensemble-forecasts machine-learning neurips neurips-2023 probabilistic-forecasting pytorch pytorch-lightning spatiotemporal-forecasting
Language:Python 158
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.
deep-learning recommender-system efficient-algorithm recommendation evaluation state-of-the-art collaborative-filtering reproducibility reproducible-research sigir icml lightgcn lcfn nbpo kdd dhcf neurips srns
Language:Python 151
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"
diffusion-models neurips neurips-2023 pytorch time-series time-series-forecasting
Language:Python 139
Richarizardd / Self-Supervised-ViT-Path
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
computational-pathology deep-learning histopathology neurips pretrained-weights pytorch self-supervised-learning transfer-learning unsupervised-learning vision-transformer weakly-supervised-learning
Language:Jupyter Notebook 138
SunghwanHong / Cost-Aggregation-transformers
Official implementation of CATs
computer-vision deep-learning neurips neurips-2021 pytorch semantic-correspondence
Language:Python 134
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.
explainability robustness vision-transformer neurips neurips-2022
Language:Jupyter Notebook 127
jpthu17 / EMCL
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
cross-modal-retrieval neurips video-captioning video-question-answering video-retrieval
Language:Python 121
jacobmarks / awesome-neurips-2023
Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
ai awesome awesome-list awesome-readme machine-learning neurips neurips-2023
Language:Jupyter Notebook 107
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.
3d-anomaly-detection anomaly-detection dataset neurips point-cloud
Language:Python 107
daskol / typst-templates
A list of paper templates in the area of machine learning.
cvpr iclr icml jmlr neurips tmlr typst typst-template
Language:Typst 105
vLAR-group / RayDF
🔥RayDF in PyTorch (NeurIPS 2023)
3d 3d-graphics 3d-reconstruction 3d-rendering 3d-representation-learning light-rays neurips neurips-2023
Language:Python 103
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"
explainability explainable-ai explainable-ml iml interpretability interpretable-ai interpretable-classification interpretable-machine-learning interpretable-ml neurips neuro-symbolic-ai nips representation-learning rule-based-model scalability xai
Language:Python 100
dspn
Cyanogenoid / dspn
[NeurIPS 2019] Deep Set Prediction Networks
set prediction deep-learning neurips neurips-2019
Language:Python 100
xiyanghu / OSDT
Optimal Sparse Decision Trees
accelerate acceleration-model algorithm algorithm-optimization data-mining data-science interpretable-ml machine-learning ml-system mlsys neurips python python3
Language:Python 100
kamwoh / orthohash
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
hashing coco cosine-similarity deep-hashing deep-learning hash-codes image-retrieval imagenet neurips neurips-2021 nuswide oxford paris gldv2 instance-level-retrieval orthohash supervised-hashing roxf rpar
Language:Python 93
kaiwenzha / Rank-N-Contrast
[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
continuity contrastive-learning neurips neurips-2023 ranking-algorithms regression representation-learning
Language:Python 92
wvangansbeke / Revisiting-Contrastive-SSL
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
clustering contrastive-learning moco neurips neurips2021 pretraining representation-learning self-supervised-learning transfer-learning unsupervised-learning
Language:Python 87
stagin
egyptdj / stagin
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
neuroimaging connectome fmri graph-neural-network gnn attention explainability stagin neurips neurips2021
Language:Python 86

neurips

FoundationVision / VAR

paperswithcode / releasing-research-code

oneTaken / awesome_deep_learning_interpretability

YyzHarry / imbalanced-semi-self

yarkable / Awesome-Computer-Vision-Paper-List

SimonKohl / probabilistic_unet

Little-Podi / Collaborative_Perception

monk1337 / resp

kach / gradient-descent-the-ultimate-optimizer

benedekrozemberczki / AttentionWalk

Allenpandas / Reinforcement-Learning-Papers

bknyaz / graph_attention_pool

Little-Podi / Transformer_Tracking

scaomath / galerkin-transformer

microsoft / monitors4codegen

xliucs / MTTS-CAN

black-yt / WeatherGFT

neerajwagh / eeg-gcnn

Rose-STL-Lab / dyffusion

chenchongthu / ENMF

amazon-science / unconditional-time-series-diffusion

Richarizardd / Self-Supervised-ViT-Path

SunghwanHong / Cost-Aggregation-transformers

hila-chefer / RobustViT

jpthu17 / EMCL

jacobmarks / awesome-neurips-2023

M-3LAB / Real3D-AD

daskol / typst-templates

vLAR-group / RayDF

12wang3 / rrl

Cyanogenoid / dspn

xiyanghu / OSDT

kamwoh / orthohash

kaiwenzha / Rank-N-Contrast

wvangansbeke / Revisiting-Contrastive-SSL

egyptdj / stagin