Alternatives and similar repositories for ML-paper-notes:

Users that are interested in ML-paper-notes are comparing it to the libraries listed below

• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆446Updated 2 years ago
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆886Updated last year
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆351Updated 6 months ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆829Updated 4 years ago
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆524Updated 2 years ago
• amitness / papers-with-video
  A browser extension that links video explanations to research papers on arxiv.org
  ☆412Updated last year
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,675Updated 2 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆342Updated 4 years ago
• Machine-Learning-Tokyo / CNN-Architectures
  ☆503Updated 6 months ago
• e-271 / awesome-few-shot-learning
  A curated list of resources about few-shot and one-shot learning
  ☆282Updated 5 years ago
• skrish13 / ml-contests-conf
  ML and DL related contests, competitions and conference challenges.
  ☆603Updated last year
• instillai / Generative-Adversarial-Networks-Roadmap
  The Roadmap to Learn Generative Adversarial Networks (GANs)
  ☆389Updated 4 years ago
• google-research / mixmatch
  ☆1,137Updated last year
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆189Updated 5 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆380Updated 2 years ago
• astrumai / DeepLearningWithTF2.0
  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
  ☆298Updated 5 years ago
• dev-sungman / Awesome-Self-Supervised-Papers
  Paper bank for Self-Supervised Learning
  ☆580Updated last year
• google-research / uda
  Unsupervised Data Augmentation (UDA)
  ☆2,187Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆274Updated 5 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆553Updated 4 years ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆829Updated 3 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆667Updated last year
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,074Updated 6 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆554Updated 2 years ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆536Updated 2 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆982Updated 6 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆572Updated 4 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆937Updated last year
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆158Updated 4 years ago