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Search results for neural network automatic differentiation

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23 search results found

Gorgonia ⭐ 5,357

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

Pennylane ⭐ 2,143

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.

Spago ⭐ 1,691

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

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

Deeplearning.scala ⭐ 759

A simple library for creating complex neural networks

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

Deepdarkfantasy ⭐ 464

A Programming Language for Deep Learning

Rust Autograd ⭐ 413

Tensors and differentiable operations (like TensorFlow) in Rust

Theano_lstm ⭐ 309

🔬 Nano size Theano LSTM module

Kayak is a library for automatic differentiation with applications to deep neural networks.

Tensorcircuit ⭐ 230

Tensor network based quantum software framework for the NISQ era

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Autograd.jl ⭐ 160

Julia port of the Python autograd package.

Adcme.jl ⭐ 158

Automatic Differentiation Library for Computational and Mathematical Engineering

Neograd ⭐ 117

A deep learning framework created from scratch with Python and NumPy

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Exprgrad ⭐ 70

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

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

Causing: CAUsal INterpretation using Graphs

Neural Network Playground ⭐ 43

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

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Python package for Geometric / Clifford Algebra with TensorFlow

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

A numerical optimisation and deep learning framework for D.

Fortlearner ⭐ 21

Machine Learning Algorithms in Fortran

SANNet Neural Network Framework

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

Control_neuralode ⭐ 9

On the use of NeuralODEs as optimal control policies: I.O. Sandoval, P. Petsagkourakis, E. A. del Rio-Chanona, “Neural ODEs as Feedback Policies for Nonlinear Optimal Control” The 22nd World Congress of the International Federation of Automatic Control (IFAC 2023)

Dali Cython ⭐ 9

🍭 Dali in Python

Automatic differentiation in python

Albiruniml ⭐ 7

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

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

💤 Just Another Neural network

Automatic differentiation deep neural network framework.

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