Alternatives and similar repositories for deep-learning-figures:

Users that are interested in deep-learning-figures are comparing it to the libraries listed below

• huangleiBuaa / NormalizationSurvey
  This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
  ☆84Updated 3 years ago
• osu-cvl / revisiting-bn-init
  Code for "Revisiting Batch Norm Initialization".
  ☆12Updated 2 years ago
• davidstutz / arxiv-submission-sanitizer-flattener
  Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.
  ☆65Updated 2 years ago
• MECLabTUDA / Super_Selfish
  ☆92Updated 4 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆36Updated last year
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆173Updated last year
• sharonzhou / ICLR2021-Stats
  ICLR 2021 Stats & Graphs
  ☆31Updated 2 years ago
• EdisonLeeeee / ICLR2023-OpenReviewData
  ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
  ☆105Updated 2 years ago
• jotaf98 / simple-tar-dataset
  An unopinionated replacement for PyTorch's Dataset and ImageFolder, that handles Tar archives
  ☆77Updated 2 years ago
• cjrd / self-supervised-pretraining
  Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
  ☆61Updated 4 years ago
• lehduong / torch-warmup-lr
  Warmup learning rate wrapper for Pytorch Scheduler
  ☆41Updated 5 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆91Updated 2 years ago
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆46Updated 5 years ago
• AvivNavon / AuxiLearn
  Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
  ☆84Updated 9 months ago
• huggingface / paper-style-guide
  ☆72Updated 3 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 3 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆130Updated 2 years ago
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆81Updated 2 years ago
• thegregyang / LossUpAccUp
  Loss and accuracy go opposite ways...right?
  ☆92Updated 4 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆109Updated last year
• mlpc-ucsd / DC-VAE
  (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
  ☆40Updated 2 years ago
• antoinebrl / torchextractor
  Feature extraction made simple with torchextractor
  ☆101Updated 4 years ago
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• VainF / Awesome-Contrastive-Learning
  Awesome Contrastive Learning for CV & NLP
  ☆163Updated 3 years ago
• haofanwang / awesome-mlp-papers
  Recent Advances in MLP-based Models (MLP is all you need!)
  ☆115Updated 2 years ago
• FocalNet / Networks-Beyond-Attention
  A compilation of network architectures for vision and others without usage of self-attention mechanism
  ☆80Updated 2 years ago
• arghosh / noisy_label_pretrain
  ☆32Updated 4 years ago