icml

adobe/antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

tigerneil/awesome-deep-rl

For deep RL and the future of AI.

omerbt/MultiDiffusion

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

YyzHarry/imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

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.

SymbioticLab/FedScale

FedScale is a scalable and extensible open-source federated learning (FL) platform.

bayesgroup/variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

Allenpandas/Reinforcement-Learning-Papers

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

clovaai/generative-evaluation-prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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.

mabaorui/NeuralPull

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

clovaai/rebias

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

azminewasi/Awesome-Graph-Research-ICML2024

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

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.

NKvision428/Tasks_for_Rookies

视觉实验室新手任务

HaozhiQi/ISONet

Deep Isometric Learning for Visual Recognition (ICML 2020)

HanxunH/Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

mfbalin/Concrete-Autoencoders

daskol/typst-templates

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

mabaorui/Noise2NoiseMapping

[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

JunlinHan/YOCO

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

shaohua0116/demo2program

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

YyzHarry/SubpopBench

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

yongkaiwu/FairAI

This is a collection of papers and other resources related to fairness.

chenpf1025/noisy_label_understanding_utilizing

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

RAIVNLab/STR

Soft Threshold Weight Reparameterization for Learnable Sparsity

WingsBrokenAngel/AIPaperCompleteDownload

Complete download for papers in various top conferences

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"

tuanlda78202/MLR

ML Research Resources

mabaorui/NeuralPull-Pytorch

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

kdexd/probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

probsys/AutoGP.jl

Automated Bayesian model discovery for time series data

tk-rusch/GraphCON

GraphCON (ICML 2022)

jeongwhanchoi/GREAD

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023