Alternatives and similar repositories for suggested-notation-for-machine-learning

Users that are interested in suggested-notation-for-machine-learning are comparing it to the libraries listed below

• familyld / Awesome-Best-Papers
  Collect awesome best papers from top AI conferences.
  ☆467Updated 2 years ago
• deepgenerativemodels / notes
  Course notes
  ☆693Updated last year
• tengyuma / cs229m_notes
  ☆227Updated 2 years ago
• dair-ai / awesome-research-proposals-guide
  A guide to improve your research proposals.
  ☆198Updated 4 years ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆448Updated 9 months ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• js05212 / BayesianDeepLearning-Survey
  Bayesian Deep Learning: A Survey
  ☆514Updated 6 months ago
• pliang279 / awesome-phd-advice
  Collection of advice for prospective and current PhD students
  ☆1,782Updated 10 months ago
• acmi-lab / cmu-10717-the-art-of-the-paper
  Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
  ☆288Updated 3 years ago
• poloclub / awesome-grad-school
  🎓 Advice and resources for thriving and surviving graduate school
  ☆371Updated last month
• EfficientDL / book
  PDFs and Codelabs for the Efficient Deep Learning book.
  ☆192Updated 2 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆448Updated 3 years ago
• Ma-Lab-Berkeley / ReduNet
  ReduNet
  ☆538Updated 3 years ago
• xinychen / awesome-latex-drawing
  Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
  ☆1,726Updated last week
• parrt / tensor-sensor
  The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…
  ☆808Updated 3 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆479Updated 2 years ago
• guanyingc / latex_paper_writing_tips
  Tips for Writing a Research Paper using LaTeX
  ☆3,509Updated 2 years ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,183Updated 8 months ago
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆361Updated last year
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆426Updated 4 months ago
• jedyang97 / awesome-cs-phd-application-advice
  A curated list of awesome advice for computer science Ph.D. applicants.
  ☆295Updated 3 years ago
• Mehooz / awesome-representation-learning
  The newest reading list for representation learning
  ☆115Updated 4 years ago
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆169Updated 3 years ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,796Updated 2 years ago
• huggingface / paper-style-guide
  ☆72Updated 3 years ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆563Updated 4 years ago
• amitness / papers-with-video
  A browser extension that links video explanations to research papers on arxiv.org
  ☆412Updated last year
• 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)
  ☆748Updated last year
• zasdfgbnm / TorchSnooper
  Debug PyTorch code using PySnooper
  ☆798Updated 4 years ago
• hassony2 / useful-computer-vision-phd-resources
  Lists of resources useful for my PhD in computer vision
  ☆569Updated 3 years ago