Alternatives and similar repositories for autograd

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

• joelgrus / joelnet
  live coding deep learning library
  ☆335Updated 5 years ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆1,012Updated 5 years ago
• evcu / numpy_autograd
  a simple implementation of autograd engine
  ☆24Updated 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
• EfficientDL / book
  PDFs and Codelabs for the Efficient Deep Learning book.
  ☆203Updated 2 years ago
• chaoming0625 / NumpyDL
  Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
  ☆241Updated 4 years ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated last year
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 5 years ago
• d2l-ai / d2l-book
  Books with Jupyter notebooks
  ☆262Updated 2 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆458Updated last year
• Santosh-Gupta / SpeedTorch
  Library for faster pinned CPU <-> GPU transfer in Pytorch
  ☆683Updated 5 years ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆641Updated 2 years ago
• bgavran / autodiff
  Rudimentary automatic differentiation framework
  ☆75Updated 6 years ago
• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆83Updated 4 years ago
• minitorch / Module-0
  Module 0 - Fundamentals
  ☆110Updated last year
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• Dynmi / AlexNet
  implement AlexNet with C / convolutional nerual network / machine learning / computer vision
  ☆196Updated 4 years ago
• juliuskunze / jaxnet
  Concise deep learning for JAX
  ☆183Updated 5 years ago
• d2l-ai / d2l-tvm
  Dive into Deep Learning Compiler
  ☆645Updated 3 years ago
• pytorch / cppdocs
  PyTorch C++ API Documentation
  ☆244Updated this week
• kennysong / minigrad
  A minimal implementation of autograd (in pure Python) 🍰
  ☆96Updated 4 years ago
• sradc / SmallPebble
  A minimalist deep learning library written from scratch in Python
  ☆132Updated last week
• hendrycks / GELUs
  A smoother activation function (undergrad code)
  ☆116Updated 5 years ago
• jkoutsikakis / pytorch-wrapper
  Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
  ☆95Updated last year
• OverLordGoldDragon / keras-adamw
  Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
  ☆169Updated 4 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
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 3 years ago
• simon-larsson / keras-swa
  Simple stochastic weight averaging callback for Keras
  ☆63Updated 4 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 4 years ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆279Updated 3 years ago