Alternatives and similar repositories for LeNet-MNIST-Demo

Users that are interested in LeNet-MNIST-Demo are comparing it to the libraries listed below

• iArunava / scratchai
  scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
  ☆97Updated last year
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆83Updated 4 years ago
• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆69Updated 5 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆183Updated 6 years ago
• radekosmulski / python_musings
  ☆36Updated 6 years ago
• nicklashansen / neural-net-optimization
  PyTorch implementations of recent optimization algorithms for deep learning.
  ☆62Updated 5 years ago
• stared / thinking-in-tensors-writing-in-pytorch
  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
  ☆395Updated last year
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• wdhorton / protein-atlas-fastai
  Code for training a Resnet model for the Human Protein Atlas Image Classification competition
  ☆50Updated 7 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 6 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• zurutech / ashpy
  TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
  ☆82Updated 3 years ago
• fg91 / Neural-Image-Caption-Generation-Tutorial
  ☆66Updated 6 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 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
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆210Updated 2 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆112Updated 4 years ago
• fastai / fastdot
  A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
  ☆63Updated 3 years ago
• harrisonjansma / Research-Computer-Vision
  Implementations of computer vision concepts.
  ☆51Updated 7 years ago
• param087 / Pytorch-tutorial-on-Google-colab
  PyTorch Tutorial on google colaboratory.
  ☆77Updated 6 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• pearsonkyle / Neural-Nebula
  A deep conv. generative adversarial network trained on nebula and images of space
  ☆89Updated 6 years ago
• ahmedbesbes / Neural-Network-from-scratch
  Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
  ☆264Updated 7 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
• naraB / jupyter-notifier
  A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate
  ☆45Updated 5 years ago
• generated-online / generated.online
  tbd beschde
  ☆13Updated 3 years ago