Alternatives and similar repositories for quickdraw

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

• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• fastai / fastai_old
  OLD REPO - PLEASE USE fastai/fastai
  ☆181Updated 2 years ago
• KeremTurgutlu / deeplearning
  ☆158Updated 7 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• radekosmulski / whale
  ☆268Updated 5 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆72Updated 3 years ago
• acburigo / CapsNet
  CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
  ☆112Updated 5 years ago
• radekosmulski / tgs_salt_solution
  ☆24Updated 6 years ago
• wdhorton / protein-atlas-fastai
  Code for training a Resnet model for the Human Protein Atlas Image Classification competition
  ☆50Updated 6 years ago
• svishnu88 / TGS-SaltNet
  Kaggle | 21st place solution for TGS Salt Identification Challenge
  ☆84Updated 6 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• PPPW / deep-learning-random-explore
  ☆194Updated 6 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆209Updated 2 years ago
• sermakarevich / jigsaw-toxic-comment-classification-challenge
  ☆46Updated 2 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆335Updated 4 years ago
• alecrubin / pytorch-serverless
  FastAI PyTorch Serverless API (w/ AWS Lambda)
  ☆153Updated 7 years ago
• fpingham / google-images-dataset
  This repository provides the necessary code to create your own Google Images Dataset.
  ☆115Updated 6 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆146Updated 7 years ago
• timdavidlee / learning-deep
  All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
  ☆69Updated 7 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆145Updated 5 years ago
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆280Updated 2 years ago
• cstorm125 / sophia
  Neural networks from scratch
  ☆108Updated 5 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• toodef / neural-pipeline
  Neural networks training pipeline based on PyTorch
  ☆312Updated 5 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• recastrodiaz / fastai-course-1-pytorch
  PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course
  ☆57Updated 8 years ago
• asvcode / Vision_UI
  UI visual interface for fastai - now compatible with Google Colab
  ☆249Updated 2 months ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago