There are 6 repositories under autograd topic.
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
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 differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
C++ Implementation of PyTorch Tutorials for Everyone
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
JAX - A curated list of resources https://github.com/google/jax
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Tensors and differentiable operations (like TensorFlow) in Rust
Image registration laboratory for 2D and 3D image data
Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
Julia port of the Python autograd package.
Scientific computing in pure Crystal
Torch Containers simplified in PyTorch
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
🌱 Guided-mode expansion of photonic crystal slabs
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
Deep-Learning framework from scratch
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Google AI Princeton control framework
European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.