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autodiff
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automatic differentiation made easier for C++
automatic-differentiation
derivatives
auto-differentiation
differentiation
autodiff
numerical-derivation
autodifferentiation
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Jul 29, 2021 - C++
DiffSharp: Differentiable Functional Programming
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Aug 1, 2021 - F#
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Jul 11, 2021 - Python
Autodifferentiation package in Rust.
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Jun 21, 2018 - Rust
rsokl
commented
Jan 22, 2019
Okay, so this might not exactly be a "good first issue" - it is a little more advanced, but is still very much accessible to newcomers.
Similar to the mygrad.nnet.max_pool function, I would like there to be a mean-pooling layer. That is, a convolution-style windows is strided over the input, an
基于Python的numpy实现的简易深度学习框架，包括自动求导、优化器、layer等的实现。
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Apr 17, 2021 - Jupyter Notebook
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
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Jul 30, 2018 - C#
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Jul 27, 2021 - Julia
Solve ODEs fast, with support for PyMC3
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May 4, 2021 - Jupyter Notebook
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
macos
linux
math
automatic-differentiation
derivatives
cpp17
auto-differentiation
differentiation
autodiff
autodifferentiation
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Jul 10, 2021 - C++
library of C++ functions that support applications of Stan in Pharmacometrics
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Jul 21, 2021 - C++
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
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Apr 28, 2021 - Python
A lightweight deep learning framework made with ❤️
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May 24, 2019 - C++
Auto differentiation over linear algebras (a Zygote extension)
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Feb 23, 2020 - Julia
oxinabox
commented
Jul 23, 2021
Library for solving quantum optimal control problems in Julia. Currently offers support for GRAPE and dCRAB algorithms using piecewise constant controls.
grape
control
julia
quantum
quantum-mechanics
quantum-computing
optimal
dynamo
optimisation
autodiff
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Aug 1, 2021 - Julia
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
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Oct 15, 2020 - Python
A concise C++17 implementation of automatic differentiation (operator overloading)
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Oct 29, 2020 - C++
Scala embedded universal probabilistic programming language
scala
dsl
bayesian-inference
probabilistic
variational-inference
variational-bayes
autodiff
probabilistic-programming-language
autodifferentiation
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Apr 15, 2021 - Scala
A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.
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Mar 3, 2021 - Python
A C++ implementation of the scalar-valued autograd engine micrograd
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May 16, 2020 - C++
My solutions to the assignments of dlsys course (CSE599G1: Deep Learning System Spring 2017)
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Jul 1, 2017 - Python
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I'm using TF 2.0, and I get this error when I import tangent, due to a list of non-differentiable functions that includes
tf.to_float(line 60), which is deprecated:https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/to_float