Awesome Open Source

Programming Languages

Search results for numpy automatic differentiation

automatic-differentiation x

15 search results found

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Deep Learning From Scratch 3 ⭐ 426

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

Jax_cosmo ⭐ 138

A differentiable cosmology library in JAX

Neograd ⭐ 117

A deep learning framework created from scratch with Python and NumPy

Autoptim ⭐ 91

Automatic differentiation + optimization

adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Keras-like APIs for JAX framework

Python bindings for CppAD and CppADCodeGen using Boost.Python

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Gradflow ⭐ 10

A small, educational autograd system with deep neural networks support

Numpy_autograd ⭐ 9

a simple implementation of autograd engine

SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架

Dali Cython ⭐ 9

🍭 Dali in Python

Automatic differentiation deep neural network framework.

Related Searches

Python Numpy (4,851)

Pandas Numpy (1,622)

Jupyter Notebook Numpy (1,597)

Numpy Matplotlib (1,077)

Machine Learning Numpy (1,015)

Deep Learning Numpy (477)

Neural Network Numpy (379)

Pytorch Numpy (286)

Artificial Intelligence Numpy (163)

1-15 of 15 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.