#

icml

Here are 101 public repositories matching this topic...

zziz / pwc

This repository is no longer maintained.

machine-learning code paper cvpr iccv nips icml eccv

Updated Jan 16, 2020

adobe / antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

computer-vision artificial-intelligence convolutional-neural-networks antialiasing icml cnns shift-invariant shift-equivariant icml-2019

Updated Apr 8, 2024
Python

awesome-deep-rl

tigerneil / awesome-deep-rl

For deep RL and the future of AI.

Updated Mar 1, 2024
HTML

omerbt / MultiDiffusion

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

generative-model image-generation text-to-image icml diffusion-models stable-diffusion multidiffusion

Updated Sep 21, 2023
Jupyter Notebook

YyzHarry / imbalanced-regression

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

natural-language-processing computer-vision regression healthcare imbalanced-data icml imbalanced-learning long-tail imbalance imbalanced-classification imbalanced-regression icml-2021

Updated Mar 22, 2022
Python

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)

Updated Apr 8, 2024

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.

Updated Apr 6, 2024
Python

SymbioticLab / FedScale

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

benchmark machine-learning deep-learning deployment tensorflow pytorch distributed dataset osdi icml federated-learning mlsys

Updated Dec 18, 2023
Python

variational-dropout-sparsifies-dnn

bayesgroup / variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

compression icml bayesian-deep-learning

Updated May 20, 2020
Jupyter Notebook

Allenpandas / Reinforcement-Learning-Papers

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

reinforcement-learning deep-reinforcement-learning q-learning artificial-intelligence dqn policy-gradient imitation-learning aaai ijcai reinforcement-learning-papers hierarchical-reinforcement-learning icml multi-agent-reinforcement-learning neurips meta-reinforcement-learning offline-reinforcement-learning rl-papers reinforcement-learning-conferences reinforcement-learning-paper reinforcement-learning-conferences-papers

Updated May 30, 2024

clovaai / generative-evaluation-prdc

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

diversity machine-learning deep-learning evaluation generative-adversarial-network generative-model recall precision evaluation-metrics fidelity icml icml-2020 icml2020

Updated Jan 9, 2023
Python

SilenceEagle / paper_downloader

Download papers and supplemental materials from open-access paper website, such as AAAI, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.

rss aaai cvpr ijcai iccv colt nips iclr icml eccv aistats jmlr accv wacv paper-download

Updated Sep 29, 2024
Python

mabaorui / NeuralPull

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

deep-learning tensorflow point-cloud 3d-reconstruction icml

Updated Jun 3, 2022
Python

clovaai / rebias

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

machine-learning deep-learning pytorch icml icml-2020 icml2020 rebias bias-generalisation bias-generalization

Updated Jul 25, 2024
Python

Awesome-Graph-Research-ICML2024

azminewasi / Awesome-Graph-Research-ICML2024

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

graph molecular-dynamics graph-theory icml graph-neural-networks gnn graph-neural-network icml-2024

Updated Jun 16, 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.

deep-learning reproducible-research evaluation collaborative-filtering recommender-system recommendation kdd reproducibility efficient-algorithm icml sigir state-of-the-art neurips lcfn lightgcn nbpo dhcf srns

Updated Jul 22, 2021
Python

NKvision428 / Tasks_for_Rookies

视觉实验室新手任务

computer-science tutorial computer-vision deep-learning cvpr iccv iclr icml mechine-learing research-methods eccv tpami

Updated Jun 14, 2024

HaozhiQi / ISONet

Deep Isometric Learning for Visual Recognition (ICML 2020)

visual-recognition icml deep-isometric-learning

Updated May 29, 2022
Python

HanxunH / Active-Passive-Losses

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

deep-neural-networks deep-learning pytorch icml noisy-data label-noise noisy-labels unreliable-labels robust-learning icml-2020

Updated Jul 5, 2024
Python

mfbalin / Concrete-Autoencoders

machine-learning feature-selection supervised-learning unsupervised-learning icml icml-2019 concrete-autoencoders

Updated May 24, 2022
Jupyter Notebook

Improve this page

Add a description, image, and links to the icml topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the icml topic, visit your repo's landing page and select "manage topics."