Alternatives and similar repositories for pytorch-apple-silicon

Users that are interested in pytorch-apple-silicon are comparing it to the libraries listed below

• mrdbourke / m1-machine-learning-test
  Code for testing various M1 Chip benchmarks with TensorFlow.
  ☆533Updated last year
• mrdbourke / mac-ml-speed-test
  A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
  ☆193Updated last year
• rasbt / machine-learning-notes
  Collection of useful machine learning codes and snippets (originally intended for my personal use)
  ☆822Updated last year
• tcapelle / apple_m1_pro_python
  A collection of ML scripts to test the M1 Pro MacBook Pro
  ☆170Updated 2 years ago
• tlkh / tf-metal-experiments
  TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)
  ☆278Updated 3 years ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆386Updated last year
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆475Updated last year
• jeffheaton / app_deep_learning
  T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
  ☆451Updated 3 weeks ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆507Updated 3 years ago
• ahkarami / Great-Deep-Learning-Tutorials
  A Great Collection of Deep Learning Tutorials and Repositories
  ☆286Updated this week
• huggingface / education-toolkit
  Educational materials for universities
  ☆367Updated last year
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆629Updated 6 months ago
• ashishpatel26 / Treasure-of-Transformers
  💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…
  ☆1,017Updated last year
• ajhalthor / Transformer-Neural-Network
  Code Transformer neural network components piece by piece
  ☆356Updated 2 years ago
• brandokoch / attention-is-all-you-need-paper
  Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…
  ☆238Updated last year
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆304Updated last year
• the-full-stack / website
  Source for https://fullstackdeeplearning.com
  ☆1,245Updated 3 months ago
• mrdbourke / nutrify
  Take a photo of food and learn about it.
  ☆187Updated last year
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆240Updated last year
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆366Updated 2 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆258Updated last year
• better-data-science / TensorFlow
  ☆53Updated 3 years ago
• NVDLI / LDL
  Learning Deep Learning
  ☆312Updated 7 months ago
• woolfel / ml-macos-performance
  ☆94Updated 2 years ago
• https-deeplearning-ai / GANs-Public
  Course notebooks for GANs specializations
  ☆119Updated last year
• huggingface / community-events
  Place where folks can contribute to 🤗 community events
  ☆424Updated last year
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆473Updated last month
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆170Updated 3 years ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆1,118Updated 4 months ago
• huggingface / computer-vision-course
  This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face …
  ☆667Updated last week