Alternatives and similar repositories for intro-to-dl

Users that are interested in intro-to-dl are comparing it to the libraries listed below

• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆660Updated 5 years ago
• jiadaizhao / Advanced-Machine-Learning-Specialization
  Advanced Machine Learning Specialization on Coursera
  ☆221Updated 5 years ago
• hse-aml / natural-language-processing
  Resources for "Natural Language Processing" Coursera course.
  ☆1,194Updated 2 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆174Updated 7 years ago
• SJD1882 / MOOC-Coursera-Advanced-Machine-Learning
  Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…
  ☆199Updated 6 years ago
• udacity / NLP-Exercises
  ☆197Updated 3 years ago
• mervynlee94 / Advance-Machine-Learning
  ☆85Updated 7 years ago
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆394Updated 8 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆935Updated last year
• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆261Updated 8 years ago
• diefimov / MTH594_MachineLearning
  The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
  ☆383Updated 8 years ago
• Yorko / stanford_cs231n_2019
  Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
  ☆157Updated 2 years ago
• udacity / DL_PyTorch
  Code for the Deep Learning with PyTorch lesson
  ☆364Updated 3 years ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆596Updated 5 years ago
• Gurupradeep / deeplearning.ai-Assignments
  ☆354Updated 4 years ago
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 5 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆271Updated 9 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆866Updated 5 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆326Updated 8 years ago
• cezannec / capsule_net_pytorch
  Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
  ☆373Updated 5 years ago
• fdasilva59 / Udacity-Natural-Language-Processing-Nanodegree
  Tutorials and my solutions to the Udacity NLP Nanodegree
  ☆90Updated 7 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆541Updated 6 years ago
• random-forests / tutorials
  ☆534Updated 4 years ago
• udacity / rl-cheatsheet
  RL Notation and Pseudocode for Udacity's MLND program
  ☆265Updated 3 years ago
• rvarun7777 / Deep_Learning
  added all materials
  ☆174Updated 6 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 4 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆329Updated 4 years ago
• hse-aml / hadron-collider-machine-learning
  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
  ☆95Updated 6 years ago
• Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
  Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
  ☆148Updated 6 years ago
• udacity / AIND-NLP
  Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
  ☆241Updated 3 years ago