Tensors and Dynamic neural networks in Python with strong GPU acceleration

Updated
Jul 17, 2024  Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Convert ML Code Between Frameworks
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
A C++ standalone library for machine learning
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
It is my belief that you, the postgraduate students and jobseekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
An EngineAgnostic Deep Learning Framework in Java
PennyLane is a crossplatform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
C++ Implementation of PyTorch Tutorials for Everyone
Deep learning in Rust, with shape checked tensors and neural networks
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
JAX  A curated list of resources https://github.com/google/jax
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Owl  OCaml Scientific Computing @ https://ocaml.xyz
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Deep learning with spiking neural networks (SNNs) in PyTorch.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cuttingedge quantum computing research.
Tensors and differentiable operations (like TensorFlow) in Rust
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