Alternatives and similar repositories for awesome-mlss

Users that are interested in awesome-mlss are comparing it to the libraries listed below

• dangkhoasdc / awesome-ai-residency
  List of AI Residency Programs
  ☆3,273Updated 9 months ago
• hazratali / awesome-ai-summerschool
  A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
  ☆452Updated this week
• ankitshah009 / all-about-ai-residency
  AI residency programs information
  ☆479Updated 2 years ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,857Updated 2 years ago
• shaily99 / advice
  A repository of links with advice related to grad school applications, research, phd etc
  ☆2,411Updated 2 years ago
• rll / deepul
  ☆828Updated 9 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,652Updated 2 months ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,372Updated 6 months ago
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,765Updated last month
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,576Updated last year
• SouravDutta91 / AI-Residency-List
  List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
  ☆164Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• google-deepmind / educational
  ☆1,476Updated 3 years ago
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆3,078Updated 2 months ago
• chinasatokolo / csGraduateFellowships
  A curated list of fellowships for graduate students in Computer Science and related fields.
  ☆805Updated 3 months ago
• Machine-Learning-Tokyo / Interactive_Tools
  Interactive Tools for Machine Learning, Deep Learning and Math
  ☆2,801Updated last year
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆867Updated 4 months ago
• deepgenerativemodels / notes
  Course notes
  ☆739Updated last year
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,285Updated 5 months ago
• dmarx / anthology-of-modern-ml
  Collection of important articles to be treated as a textbook
  ☆842Updated 4 months ago
• TimboKZ / ucl-csml-cheatsheets
  Cheat sheets for UCL's 2018/19 machine learning modules
  ☆63Updated 6 years ago
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆188Updated 3 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆832Updated 4 years ago
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆228Updated last year
• Feynman687 / Interviews
  ☆320Updated 5 years ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,514Updated last month
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆456Updated 3 years ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆2,008Updated 4 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,710Updated 10 months ago