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
  ☆1,543Updated 4 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆985Updated 6 years ago
• kdexd / digit-classifier
  A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
  ☆786Updated 5 years ago
• floydhub / dl-setup
  Instructions for setting up the software on your deep learning machine
  ☆1,976Updated 6 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,300Updated 7 years ago
• abhshkdz / papers
  Summaries of papers on deep learning
  ☆570Updated 5 years ago
• sbrugman / deep-learning-papers
  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
  ☆3,196Updated 5 years ago
• andrewt3000 / DL4NLP
  Deep Learning for NLP resources
  ☆2,191Updated 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…
  ☆1,388Updated 5 years ago
• jostmey / rwa
  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  ☆602Updated 5 years ago
• mtomassoli / papers
  Collection of papers
  ☆470Updated 3 years ago
• smilli / research-advice
  articles about research and phd advice
  ☆279Updated 6 years ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,952Updated 8 years ago
• rouseguy / DeepLearning-NLP
  Introduction to Deep Learning for Natural Language Processing
  ☆603Updated 4 years ago
• gregdurrett / berkeley-doc-summarizer
  The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploit…
  ☆743Updated 6 years ago
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,420Updated 7 years ago
• abhshkdz / neural-vqa
  Visual Question Answering in Torch
  ☆487Updated 8 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,795Updated 4 years ago
• gutfeeling / beginner_nlp
  A curated list of beginner resources in Natural Language Processing
  ☆384Updated 8 years ago
• BAILOOL / DoYouEvenLearn
  Essential Guide to keep up with AI/ML/DL/CV
  ☆1,048Updated 2 months ago
• melling / MathAndScienceNotes
  Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
  ☆516Updated 4 years ago
• google-deepmind / rc-data
  Question answering dataset featured in "Teaching Machines to Read and Comprehend
  ☆1,294Updated 7 years ago
• ericjang / tdb
  Interactive, node-by-node debugging and visualization for TensorFlow
  ☆1,355Updated 8 years ago
• YerevaNN / A-Guide-to-Deep-Learning
  📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
  ☆216Updated 4 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,948Updated last year
• Atcold / torch-Video-Tutorials
  Light your way in Deep Learning with Torch 🔦
  ☆595Updated 8 years ago
• astorfi / TensorFlow-World-Resources
  Organized & Useful Resources about Deep Learning with TensorFlow
  ☆21Updated 4 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆899Updated 2 years ago
• adeshpande3 / Tensorflow-Programs-and-Tutorials
  Implementations of CNNs, RNNs, GANs, etc
  ☆1,058Updated 6 years ago
• ianozsvald / data_science_delivered
  Observations from Ian on successfully delivering data science products
  ☆543Updated 3 years ago