This is a collection of our zero-cost NAS and efficient vision applications.

icml-2022 开源项目推荐(26 个)
icml-2022 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库Unity's privacy-preserving human-centric synthetic data generator
Official Pytorch code for Structure-Aware Transformer.
“多任务学习作为谈判游戏”的官方实施 [ICML 2022]
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
GraphCON (ICML 2022)
[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
该项目在 GitHub 上没有填写描述
[ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier
Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022
[ICML2022] Variational Wasserstein gradient flow
DETRtime, a framework for time-series segmentation
Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
The original PyTorch implementation of the "EXACT: How Train Your Accuracy"
Code for Double Sampling Randomized Smoothing [ICML 2022]
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/icml-2022。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1824 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。