Awesome Open Source

Programming Languages

Search results for machine learning automatic differentiation

automatic-differentiation x

machine-learning x

62 search results found

Tensor library for machine learning

Gorgonia ⭐ 5,330

Gorgonia is a library that helps facilitate machine learning in Go.

Pennylane ⭐ 2,117

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Tangent ⭐ 2,066

Source-to-Source Debuggable Derivatives in Pure Python

Spago ⭐ 1,691

Self-contained Machine Learning and Natural Language Processing library in Go

Zygote.jl ⭐ 1,415

21st century AD

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Owl - OCaml Scientific Computing @ https://ocaml.xyz

Arraymancer ⭐ 1,177

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

Enzyme ⭐ 1,142

High-performance automatic differentiation of LLVM and MLIR.

Deeplearning.scala ⭐ 759

A simple library for creating complex neural networks

Rust Autograd ⭐ 413

Tensors and differentiable operations (like TensorFlow) in Rust

Enzyme.jl ⭐ 364

Julia bindings for the Enzyme automatic differentiator

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Theano_lstm ⭐ 309

🔬 Nano size Theano LSTM module

Tensorlang ⭐ 303

Tensorlang, a differentiable programming language based on TensorFlow

Tensorcircuit ⭐ 230

Tensor network based quantum software framework for the NISQ era

Jaxfluids ⭐ 203

Differentiable Fluid Dynamics Package

Nnlib.jl ⭐ 187

Neural Network primitives with multiple backends

Autograd.jl ⭐ 160

Julia port of the Python autograd package.

Adcme.jl ⭐ 158

Automatic Differentiation Library for Computational and Mathematical Engineering

Yota.jl ⭐ 146

Reverse-mode automatic differentiation in Julia

Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++

Torchquad ⭐ 142

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

Neograd ⭐ 117

A deep learning framework created from scratch with Python and NumPy

Implicitdifferentiation.jl ⭐ 107

Automatic differentiation of implicit functions

Inferopt.jl ⭐ 102

Combinatorial optimization layers for machine learning pipelines

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Notebooks ⭐ 101

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

Deep.Net machine learning framework for F#

Auto-differentiable and hardware-accelerated force density method

Exprgrad ⭐ 70

An experimental deep learning framework for Nim based on a differentiable array programming language

Juliacomputation ⭐ 68

Repository for Common Ground C25

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

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

Neural Network Playground ⭐ 43

A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.

Pennylane Rigetti ⭐ 35

This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Protograd.jl ⭐ 31

Deep learning 99% fat free

Adfem.jl ⭐ 28

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

A numerical optimisation and deep learning framework for D.

Appendices ⭐ 25

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Optimal Control Literature Software ⭐ 23

List of literature and software for optimal control and numerical optimization.

Fortlearner ⭐ 21

Machine Learning Algorithms in Fortran

Machine learning library providing matrices, named tensors, linear algebra and autodiff aimed at being easy to use

A Javascript library (with Typescript types) to parse metadata of GGML based GGUF files.

SANNet Neural Network Framework

Potentiallearning.jl ⭐ 17

An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

A small framework that can perform automatic differentiation to calculate first-order gradients of numpy arrays.

Gradflow ⭐ 10

A small, educational autograd system with deep neural networks support

mirror of Infergo repository

Numpy_autograd ⭐ 9

a simple implementation of autograd engine

Dali Cython ⭐ 9

🍭 Dali in Python

Automatic differentiation in python

Physics Driven Ml ⭐ 8

Physics-driven machine learning using PyTorch and Firedrake

Automatic-Differentiation-Enabled Plasma Transport

Code for understanding automatic differentiation.

A small framework that can perform automatic differentiation.

Albiruniml ⭐ 7

AlbiruniML is a linear algebra and machine learning library written in pure c# language inspired from tensorflow

🌲 Ahead-of-time Static Macro-gen Automatic Differentiation. A little bit like Jax. Now in Beta

Kfestimate.jl ⭐ 5

Julia package for KF and EKF parameter estimation using Automatic Differentiation

a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java

Related Searches

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Computer Vision (1,966)

1-62 of 62 search results

Privacy | About | Terms | Follow Us On Twitter

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