Alternatives and similar repositories for Fast-Pytorch

Users that are interested in Fast-Pytorch are comparing it to the libraries listed below

• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆563Updated 3 years ago
• Amin-Tgz / awesome-tensorflow-2
  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
  ☆520Updated 2 years ago
• cgnorthcutt / benchmarking-keras-pytorch
  🔥 Reproducibly benchmarking Keras and PyTorch models
  ☆367Updated 4 years ago
• zaidalyafeai / AttentioNN
  All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
  ☆234Updated 5 years ago
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆911Updated 2 years ago
• PacktPublishing / Deep-Learning-with-PyTorch
  Deep Learning with PyTorch, published by Packt
  ☆464Updated last month
• astrumai / DeepLearningWithTF2.0
  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
  ☆300Updated 5 years ago
• PacktPublishing / Deep-Learning-with-PyTorch-Quick-Start-Guide
  Deep Learning with PyTorch Quick Start Guide, published by Packt
  ☆118Updated 2 years ago
• Machine-Learning-Tokyo / CNN-Architectures
  ☆506Updated last year
• ozanciga / gans-with-pytorch
  Various implementations of Generative adversarial networks using Pytorch
  ☆181Updated 6 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
  ☆161Updated 5 years ago
• BlackHC / tfpyth
  Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
  ☆646Updated 4 years ago
• bfortuner / pytorch-kaggle-starter
  Pytorch starter kit for Kaggle competitions
  ☆329Updated 8 years ago
• torchgan / torchgan
  Research Framework for easy and efficient training of GANs based on Pytorch
  ☆1,425Updated 3 years ago
• omar-florez / scratch_mlp
  Explaining the Math of how neural networks learn
  ☆375Updated 5 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,080Updated 7 years ago
• dipanjanS / hands-on-transfer-learning-with-python
  Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
  ☆830Updated 5 years ago
• madalinabuzau / tensorflow-eager-tutorials
  Simple tutorials for building neural networks with TensorFlow Eager mode.
  ☆510Updated 5 years ago
• DataSystemsGroupUT / AutoML_Survey
  ☆206Updated 5 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 5 years ago
• timsainb / tensorflow2-generative-models
  Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is s…
  ☆994Updated 4 years ago
• nmhkahn / pytorch-exercise
  Practical Exercise Codes for PyTorch
  ☆273Updated 7 years ago
• higgsfield / Capsule-Network-Tutorial
  Pytorch easy-to-follow Capsule Network tutorial
  ☆770Updated 6 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆300Updated 6 years ago
• hollobit / All-About-the-GAN
  All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
  ☆655Updated 7 years ago
• Yangyangii / GAN-Tutorial
  Simple Implementation of many GAN models with PyTorch.
  ☆398Updated 2 years ago
• instillai / Generative-Adversarial-Networks-Roadmap
  The Roadmap to Learn Generative Adversarial Networks (GANs)
  ☆392Updated 5 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• utkuozbulak / pytorch-custom-dataset-examples
  Some custom dataset examples for PyTorch
  ☆869Updated 5 years ago