Alternatives and similar repositories for cs229t

Users that are interested in cs229t are comparing it to the libraries listed below

• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 6 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆548Updated 2 years ago
• mlss-2019 / slides
  ☆259Updated 6 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆367Updated 7 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆119Updated 5 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆755Updated 6 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆363Updated 4 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆986Updated 7 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆216Updated 6 years ago
• Conchylicultor / Deep-Learning-Tricks
  Enumerate diverse machine learning training tricks.
  ☆421Updated 8 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,353Updated 2 years ago
• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,641Updated 5 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆180Updated 5 years ago
• sannykim / deeplearning-guide
  An evolving guide to learning Deep Learning effectively.
  ☆717Updated 5 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,080Updated 7 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,972Updated 3 months ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆997Updated 4 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆292Updated 7 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆555Updated 4 years ago
• Kyubyong / pytorch_exercises
  ☆318Updated 8 years ago
• snowkylin / TensorFlow-cn
  简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新，新版见 https://tf.wiki
  ☆845Updated 4 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 5 years ago