sannykim / deeplearning-guide

Related projects ⓘ

Alternatives and complementary repositories for deeplearning-guide

• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,068Updated 6 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆719Updated 5 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆571Updated 3 years ago
• omar-florez / scratch_mlp
  Explaining the Math of how neural networks learn
  ☆374Updated 4 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,347Updated last year
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆561Updated 2 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆538Updated last year
• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,625Updated 4 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆316Updated 2 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
  ☆853Updated 4 years ago
• glouppe / info8010-deep-learning
  Lectures for INFO8010 Deep Learning, ULiège
  ☆1,222Updated 6 months ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆746Updated 6 years ago
• glouppe / info8006-introduction-to-ai
  Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège
  ☆380Updated this week
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,071Updated 3 years ago
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,603Updated 4 years ago
• mbadry1 / Top-Deep-Learning
  Top 200 deep learning Github repositories sorted by the number of stars.
  ☆1,685Updated 9 months ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,916Updated last year
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆525Updated last year
• dataflowr / notebooks
  code for deep learning courses
  ☆1,087Updated 4 months ago
• mbadry1 / Trending-Deep-Learning
  Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
  ☆639Updated 4 years ago
• csinva / csinva.github.io
  Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
  ☆560Updated last week
• bat67 / awesome-deep-learning-and-machine-learning-questions
  【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
  ☆308Updated 5 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆359Updated 6 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆304Updated 5 years ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,782Updated 4 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆538Updated last year
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 5 years ago