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The Wayback Machine - https://web.archive.org/web/20200720052548/https://github.com/topics/autograd
Here are
62 public repositories
matching this topic...
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》)
Updated
Jul 13, 2020
Jupyter Notebook
A C++ standalone library for machine learning
An Engine-Agnostic Deep Learning Framework in Java
Updated
Jul 18, 2020
Java
Updated
Jul 15, 2020
OCaml
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
C++ Implementation of PyTorch Tutorial for Everyone
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Updated
Jul 6, 2020
Python
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Updated
Jul 17, 2020
Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Updated
Jul 9, 2020
Python
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Updated
Jul 18, 2020
Python
Image registration laboratory for 2D and 3D image data
Updated
Mar 23, 2020
Python
Julia port of the Python autograd package.
Updated
May 20, 2020
Julia
Tensors and differentiable operations (like TensorFlow) in Rust
Updated
Apr 18, 2020
Rust
Tiny and elegant deep learning library
Updated
Jul 1, 2019
Python
Deep learning with spiking neural networks (SNNs) in PyTorch.
Updated
Jul 19, 2020
Python
scorch is a deep learning framework in Scala inspired by PyTorch
Updated
Apr 19, 2020
Scala
Torch Containers simplified in PyTorch
A pure-python/numpy autograd tensor library
Updated
Jul 20, 2020
Python
Deep-Learning framework from scratch
Updated
Oct 13, 2018
Python
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
Updated
Mar 11, 2019
Jupyter Notebook
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Updated
Jul 15, 2020
Python
🌱 Guided-mode expansion of photonic crystal slabs
Updated
May 30, 2020
Python
Deep Learning for Swift - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation
Updated
Jun 30, 2020
Swift
European Distributed Deep Learning (EDDL) Library
Google AI Princeton control framework
Updated
Apr 1, 2020
Jupyter Notebook
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
Updated
Jun 23, 2020
Python
Autograd Engine for Python Written in Python C-API for Speed
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
Updated
Sep 8, 2019
Jupyter Notebook
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