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
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆560Updated 2 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆304Updated 5 years ago
• enggen / DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
  ☆821Updated 5 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆359Updated 6 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆116Updated 4 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆538Updated last year
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆571Updated 3 years ago
• RemoteML / bestofml
  The best resources around Machine Learning
  ☆349Updated 2 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆284Updated 6 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 5 years ago
• Sierkinhane / CS229-ML-Implementation
  Implementation of algorithms introduced in CS229.
  ☆381Updated 2 years ago
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆443Updated last year
• PacktPublishing / Deep-Learning-with-PyTorch
  Deep Learning with PyTorch, published by Packt
  ☆455Updated last year
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆316Updated 2 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,656Updated 2 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆746Updated 6 years ago
• toxtli / awesome-machine-learning-jupyter-notebooks-for-colab
  A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
  ☆287Updated 5 years ago
• dsgiitr / d2l-pytorch
  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
  ☆4,242Updated 3 months ago
• Machine-Learning-Tokyo / CNN-Architectures
  ☆503Updated 2 months 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
• hiromis / notes
  ☆1,046Updated 4 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆454Updated 3 years ago
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆525Updated last year
• mbadry1 / CS231n-2017-Summary
  After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…
  ☆1,548Updated 4 years ago