Alternatives and similar repositories for minigrad

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

• kennysong / minigrad
  A minimal implementation of autograd (in pure Python) 🍰
  ☆96Updated 4 years ago
• evanbernard / MiniNeuralNets
  A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings …
  ☆21Updated 5 years ago
• sradc / SmallPebble
  Small deep learning library written from scratch in Python, using NumPy/CuPy.
  ☆124Updated 3 years ago
• lucko515 / cnn-raccoon
  Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
  ☆31Updated 4 years ago
• 3outeille / GANumpy
  A Numpy implementation of a Generative Adversarial Network.
  ☆17Updated 5 years ago
• shawwn / ml-notes
  ☆40Updated 2 years ago
• PABannier / nanograd
  A lightweight deep learning framework
  ☆34Updated 4 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆111Updated 5 years ago
• juanigp / Pytorch-Deep-Dream
  A Pytorch Deep Dream Implementation
  ☆88Updated 5 years ago
• Rishit-dagli / Transformer-in-Transformer
  An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
  ☆43Updated 3 years ago
• LukeWood / keras-genetic
  ☆18Updated 3 years ago
• Scitator / kittylyst
  A tiny Catalyst-like experiment runner framework on top of micrograd.
  ☆51Updated 4 years ago
• sash-a / es_pytorch
  High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
  ☆27Updated 3 years ago
• yk / youtube-flatland
  Let's solve the flatland challenge!
  ☆74Updated 2 years ago
• nicklashansen / neural-net-optimization
  PyTorch implementations of recent optimization algorithms for deep learning.
  ☆62Updated 5 years ago
• will-thompson-k / tldr-transformers
  The "tl;dr" on a few notable transformer papers (pre-2022).
  ☆190Updated 2 years ago
• csxeba / trickster
  Reinforcement learning in TensorFlow 2
  ☆22Updated 3 years ago
• warner-benjamin / fastxtend
  Train fastai models faster (and other useful tools)
  ☆72Updated 5 months ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• butchland / fastai_xla_extensions
  A Python package to allow fastai to run on TPUs using Pytorch-XLA
  ☆36Updated 2 years ago
• shawwn / colab-tricks
  Tricks for Colab power users
  ☆168Updated 5 years ago
• jph00 / notes
  Stuff I find (see issues)
  ☆39Updated 5 years ago
• kowshikchills / Reinforcement-Learning-Annotated-Papers-
  ☆12Updated 5 years ago
• brohrer / taming_matplotlib
  Tutorials for getting the most out of Matplotlib
  ☆23Updated 5 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 4 years ago
• OptimalFoundation / nadir
  Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
  ☆14Updated last year
• sayakpaul / ViT-jax2tf
  This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.
  ☆33Updated 3 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 3 years ago
• arampacha / reformer_fastai
  Fastai community entry to 2020 Reproducibility Challenge
  ☆17Updated 3 years ago
• Skumarr53 / Image-Caption-Generation-using-Fastai
  Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content …
  ☆24Updated 2 years ago