nips
There are 61 repositories under nips topic.
zziz/pwc
This repository is no longer maintained.
kourgeorge/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
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.
lif314/awesome-NeRF-papers
All NeRF-related papers @ CVPR/ICCV/ECCV/NIPS/ICML/ICLR
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
benedekrozemberczki/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
SilenceEagle/paper_downloader
Download papers and supplemental materials from open-access paper website, such as AAAI, AAMAS, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.
YannDubs/Hash-Embeddings
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
kihosuh/nips_2017
videos, slides, and others from NIPS 2017
Yvanali/Deep-Learning-for-LiDAR-Point-Clouds
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
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"
yongkaiwu/FairAI
This is a collection of papers and other resources related to fairness.
Scitator/Run-Skeleton-Run
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
AdamStelmaszczyk/learning2run
Our NIPS 2017: Learning to Run source code
zyh-uaiaaaa/Relative-Uncertainty-Learning
Official implementation of our NeurIPS2021 paper: Relative Uncertainty Learning for Facial Expression Recognition
woctezuma/deep-learning-resources
Books, courses, videos and blogs, mostly about Deep Learning.
nguyenvo09/Double-Attention-Network
This is the PyTorch implementation of Double Attention Network, NIPS 2018
iamkanghyunchoi/qimera
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
JustJokerX/PaperCrawler
Crawler used to crawl papers
VieVie31/cool-papers-in-pytorch
Reimplementing cool papers in PyTorch...
fangchangma/invert-generative-networks
NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"
nicolay-r/awesome-sentiment-attitude-extraction
A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.
zhengyima/paperlist_nlp_ir_rec_ai_conference
2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录，方便直接搜索关键字。包括AAAI/ACL/EMNLP/IJCAI/SIGIR/CIKM/WSDM/WWW/NIPS/COLING
lacrypta/hodl-ar
Hodl portfolio
RylanSchaeffer/HarvardAM207-prior-networks
Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks
sailist/Awesome-Paper-List-py
This repository collects the list of accepted paper from (currently only deep learning) top conferences. All lists are crawled by python scripts for later maintenance and analysis.
nuls-io/NIPs
NIP stands for NULS Improvement Proposal
jiahuei/report-nips-style
A LaTex template for reports, based on the elegant NIPS 2018 style.
fredriclesomar/Suricata-IDS-IPS-NSM-engine
Suricata config to apply IDPS mode on Ubuntu 18.04 LTS
hkiang01/Applied-Machine-Learning
Applied Machine Learning
njulus/ST
This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".
OleNet/nips_convai2_resource
Maintain resources for NIPS 2018 Competition ConvAi2, including dataset url, papers, etc
RocketAlgorithmer/2024cvpr-papers-daily
CVPR 2024 论文和开源项目合集 | 2024cvpr papers and code
zimmerrol/spiking-bayesian-networks
Implementation of the paper Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints by Habenschuss et al.
aussedatlo/Ottr
Private messenger app based on Nostr protocol