Alternatives and similar repositories for gans-from-theory-to-production

Users that are interested in gans-from-theory-to-production are comparing it to the libraries listed below

• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆381Updated 3 years ago
• zaidalyafeai / Notebooks
  Machine learning notebooks in different subjects optimized to run in google collaboratory
  ☆372Updated 5 years ago
• radekosmulski / quickdraw
  ☆169Updated 6 years ago
• manicman1999 / Keras-BiGAN
  BiGAN implementation in Keras to detect similarities in Landscapes.
  ☆174Updated 6 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 6 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 5 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 3 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• fastai / fastai_old
  OLD REPO - PLEASE USE fastai/fastai
  ☆181Updated 3 years ago
• mariusbrataas / flowpoints_ml
  An intuitive approach to creating deep learning models
  ☆372Updated 2 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆92Updated 5 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆90Updated 6 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago
• sgugger / Deep-Learning
  A few notebooks about deep learning in pytorch
  ☆596Updated 6 years ago
• acburigo / CapsNet
  CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
  ☆113Updated 5 years ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆596Updated 6 years ago
• CShorten / HenryAILabs-VideoList
  A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!
  ☆99Updated 2 years ago
• GauravBh1010tt / DL-Seq2Seq
  Implementation of papers on Deep Seq2seq learning using Pytorch.
  ☆218Updated 6 years ago
• idealo / cnn-exposed
  🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.
  ☆176Updated last year
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆282Updated 2 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• render-examples / fastai-v3
  Starter app for fastai v3 model deployment on Render
  ☆218Updated 2 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 5 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 6 years ago
• miranthajayatilake / YOLOw-Keras
  YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
  ☆328Updated 6 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆279Updated 7 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago