Alternatives and similar repositories for papers-I-read:

Users that are interested in papers-I-read are comparing it to the libraries listed below

• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,537Updated 4 years ago
• abhshkdz / papers
  Summaries of papers on deep learning
  ☆570Updated 5 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,300Updated 7 years ago
• gutfeeling / beginner_nlp
  A curated list of beginner resources in Natural Language Processing
  ☆384Updated 8 years ago
• floydhub / dl-setup
  Instructions for setting up the software on your deep learning machine
  ☆1,977Updated 6 years ago
• rouseguy / DeepLearning-NLP
  Introduction to Deep Learning for Natural Language Processing
  ☆604Updated 4 years ago
• kdexd / digit-classifier
  A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
  ☆786Updated 5 years ago
• andrewt3000 / DL4NLP
  Deep Learning for NLP resources
  ☆2,190Updated 5 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆985Updated 6 years ago
• adeshpande3 / Machine-Learning-Links-And-Lessons-Learned
  List of all the lessons learned, best practices, and links from my time studying machine learning
  ☆995Updated 2 years ago
• adeshpande3 / Tensorflow-Programs-and-Tutorials
  Implementations of CNNs, RNNs, GANs, etc
  ☆1,055Updated 6 years ago
• gdb / kaggle
  A collection of Kaggle solutions. Not very polished.
  ☆761Updated 6 years ago
• mtomassoli / papers
  Collection of papers
  ☆470Updated 2 years ago
• YerevaNN / A-Guide-to-Deep-Learning
  📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
  ☆216Updated 3 years ago
• jxieeducation / DIY-Data-Science
  Machine Learning Tool Guides and Theory Notes
  ☆423Updated 8 years ago
• EderSantana / awesomeMLmath
  Curated list to learn the math basics for machine learning
  ☆246Updated 6 years ago
• tomepel / Technical_Book_DL
  This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…
  ☆1,387Updated 5 years ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,948Updated 8 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆898Updated last year
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,286Updated 9 years ago
• sbrugman / deep-learning-papers
  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
  ☆3,190Updated 5 years ago
• robertsdionne / neural-network-papers
  ☆1,962Updated 4 years ago
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,421Updated 7 years ago
• frnsys / ai_notes
  machine learning/artificial intelligence notes
  ☆321Updated 4 years ago
• mila-iqia / summerschool2015
  Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
  ☆389Updated 9 years ago
• Pulkit-Khandelwal / Reinforcement-Learning-Notebooks
  A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
  ☆1,045Updated 6 years ago
• beacoding / jupyshare
  ☆217Updated 5 years ago
• thomasj02 / DeepLearningProjectWorkflow
  Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016
  ☆412Updated 7 years ago
• smilli / research-advice
  articles about research and phd advice
  ☆277Updated 6 years ago
• piskvorky / bounter
  Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.
  ☆934Updated 2 years ago