Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
Dec 6, 2024 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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 job-seekers 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 Engine-Agnostic Deep Learning Framework in Java
PennyLane is a cross-platform 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, Python demos / notebooks, and free chapters for the 2nd edition of the university textbook "Machine Learning Refined".
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 cutting-edge quantum computing research.
Tensors and differentiable operations (like TensorFlow) in Rust
A Machine Learning framework from scratch in Pure Mojo 🔥
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