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Search results for automatic differentiation autograd
autograd
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automatic-differentiation
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27 search results found
Pennylane
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2,133
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.
Owl
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1,178
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Arraymancer
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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
Qml
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490
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Deep Learning From Scratch 3
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426
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Rust Autograd
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413
Tensors and differentiable operations (like TensorFlow) in Rust
Backprop
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180
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Autograd.jl
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160
Julia port of the Python autograd package.
Neograd
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117
A deep learning framework created from scratch with Python and NumPy
Scorch
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104
scorch is a deep learning framework in Scala inspired by PyTorch
Infermo
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102
Tensors and dynamic Neural Networks in Mojo
Autograd From Scratch
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82
Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
Minigrad
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66
A minimal implementation of autograd (in pure Python) 🍰
Dl4s
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64
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Custos
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48
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
Qualia2.0
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41
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Numpy Nn Model
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32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Pyerrors
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29
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Rugrads
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22
A proof of concept automatic differentiation library for Rust
Workshop Invdesign
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18
📐 Workshop material for optical inverse design and automatic differentiation
Toeffipy
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13
ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.
Vistan
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12
A simple library to run variational inference on Stan models.
Gradflow
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10
A small, educational autograd system with deep neural networks support
Numpy_autograd
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9
a simple implementation of autograd engine
Physics Driven Ml
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8
Physics-driven machine learning using PyTorch and Firedrake
Tadlib
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5
a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java
Autodiff101
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5
An introduction to Automatic Differentiation with theory and code examples.
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Python Autograd (141)
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