Alternatives and similar repositories for DL_Topics

Users that are interested in DL_Topics are comparing it to the libraries listed below

• vlgiitr / papers_we_read
  Summaries for exciting works in the field of Deep Learning.
  ☆355Updated 6 months ago
• Feynman687 / Interviews
  ☆320Updated 5 years ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆830Updated 4 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆572Updated 4 years ago
• ankitshah009 / all-about-ai-residency
  AI residency programs information
  ☆474Updated 2 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆563Updated 3 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆381Updated 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
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 4 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 6 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆935Updated last year
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆416Updated 5 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• skrish13 / ml-contests-conf
  ML and DL related contests, competitions and conference challenges.
  ☆613Updated 2 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆209Updated 2 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆588Updated 2 years ago
• sgugger / Deep-Learning
  A few notebooks about deep learning in pytorch
  ☆596Updated 6 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆344Updated 3 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 3 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 5 years ago
• muellerzr / Practical-Deep-Learning-for-Coders-2.0
  Notebooks for the "A walk with fastai2" Study Group and Lecture Series
  ☆749Updated 4 years ago
• yassouali / deeplearning.ai_notes
  Notes for Andrew Ng's courses on deep learning
  ☆78Updated 6 years ago
• dsgiitr / reading-group
  Discussions on papers, frameworks, blogs and ideas every Saturday.
  ☆60Updated 4 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,199Updated 4 years ago
• sannykim / transformer
  A collection of resources to study Transformers in depth.
  ☆558Updated 2 years ago
• theainerd / MLInterview
  A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
  ☆538Updated 4 years ago
• fastai / fastai_dev
  fast.ai early development experiments
  ☆644Updated 2 years ago
• binga / cloud-gpus
  This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
  ☆468Updated 4 years ago
• greentfrapp / deep-learning-book-notes
  Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆63Updated 7 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆575Updated 5 years ago