Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
Aug 28, 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, 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 cutting-edge quantum computing research.
Tensors and differentiable operations (like TensorFlow) in Rust
Image registration laboratory for 2D and 3D image data
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