Alternatives and similar repositories for TF-2.0-Hacks

Users that are interested in TF-2.0-Hacks are comparing it to the libraries listed below

• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆208Updated 2 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆935Updated last year
• astrumai / DeepLearningWithTF2.0
  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
  ☆300Updated 5 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆163Updated 5 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
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆160Updated 5 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆575Updated 2 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 3 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆574Updated 4 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆345Updated 4 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 5 years ago
• zaidalyafeai / Notebooks
  Machine learning notebooks in different subjects optimized to run in google collaboratory
  ☆372Updated 5 years ago
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆522Updated 2 years ago
• miranthajayatilake / YOLOw-Keras
  YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
  ☆328Updated 6 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆573Updated 5 years ago
• mariusbrataas / flowpoints_ml
  An intuitive approach to creating deep learning models
  ☆373Updated 2 years ago
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆446Updated 2 years ago
• sgugger / Deep-Learning
  A few notebooks about deep learning in pytorch
  ☆591Updated 6 years ago
• radekosmulski / whale
  ☆268Updated 5 years ago
• Machine-Learning-Tokyo / CNN-Architectures
  ☆504Updated last year
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago
• render-examples / fastai-v3
  Starter app for fastai v3 model deployment on Render
  ☆219Updated 2 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆144Updated 4 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,215Updated 3 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 5 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆609Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆342Updated 3 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆537Updated 6 years ago