Alternatives and similar repositories for awesome_deep_learning_interpretability

Users that are interested in awesome_deep_learning_interpretability are comparing it to the libraries listed below

• BIGBALLON / CIFAR-ZOO
  PyTorch implementation of CNNs for CIFAR benchmark
  ☆712Updated 4 years ago
• fastnlp / fitlog
  fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
  ☆1,516Updated 2 years ago
• mbs0221 / Multitask-Learning
  Awesome Multitask Learning Resources
  ☆674Updated 4 years ago
• Separius / awesome-fast-attention
  list of efficient attention modules
  ☆1,022Updated 4 years ago
• wmn7 / ML_Practice
  ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
  ☆237Updated 2 years ago
• JackieTseng / conference_call_for_paper
  2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processi…
  ☆856Updated 4 years ago
• ZhiningLiu1998 / awesome-imbalanced-learning
  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
  ☆1,517Updated 11 months ago
• iBelieveCJM / pseudo_label-pytorch
  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
  ☆342Updated 7 years ago
• sbharadwajj / awesome-zero-shot-learning
  A curated list of papers, code and resources pertaining to zero shot learning
  ☆936Updated 4 years ago
• demuxin / pytorch_tricks
  some tircks for PyTorch
  ☆575Updated 6 years ago
• Duan-JM / awesome-papers-fewshot
  Collection for Few-shot Learning
  ☆996Updated 2 years ago
• lhyfst / knowledge-distillation-papers
  knowledge distillation papers
  ☆767Updated 3 years ago
• tata1661 / FSL-Mate
  FSL-Mate: A collection of resources for few-shot learning (FSL).
  ☆1,767Updated 3 months ago
• YyzHarry / imbalanced-semi-self
  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
  ☆761Updated 4 years ago
• gorkemalgan / deep_learning_with_noisy_labels_literature
  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
  ☆236Updated 4 years ago
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆482Updated 5 years ago
• yassouali / awesome-semi-supervised-learning
  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
  ☆1,853Updated last year
• zwzhang123 / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆586Updated 2 years ago
• yfzhang114 / Generalization-Causality
  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
  ☆1,237Updated 2 years ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆249Updated 2 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆451Updated 3 years ago
• js05212 / BayesianDeepLearning-Survey
  Bayesian Deep Learning: A Survey
  ☆520Updated 4 months ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆912Updated 6 years ago
• subeeshvasu / Awesome-Learning-with-Label-Noise
  A curated list of resources for Learning with Noisy Labels
  ☆2,721Updated 9 months ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆307Updated 6 years ago
• pzhren / Awesome-NAS
  ☆196Updated last year
• lartpang / PyTorchTricks
  Some tricks of pytorch...
  ☆1,194Updated last year
• scutan90 / CNN-Visualization
  CNN可视化、理解CNN
  ☆698Updated 6 years ago
• FLHonker / Awesome-Knowledge-Distillation
  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
  ☆2,652Updated 2 years ago
• soapisnotfat / pytorch-cifar10
  pytorch and cifar10
  ☆216Updated 4 years ago