Gorgonia is a library that helps facilitate machine learning in Go.
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automatic-differentiation
Repositories 94
Source-to-Source Debuggable Derivatives in Pure Python
Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
A simple library for creating complex neural networks
automatic-differentiation
deep-neural-networks
deep-learning
scala
neural-network
functional-programming
symbolic-computation
dsl
domain-specific-language
machine-learning
Scala
Updated Mar 13, 2019
A Programming Language for Deep Learning
Haskell
Updated May 10, 2018
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via…
machine-learning
recurrent-networks
theano
python
lstm
gru
adadelta
dropout
automatic-differentiation
neural-network
tutorial
Python
Updated Nov 16, 2016
Tensorlang, a differentiable programming language based on TensorFlow
Python
Updated Jan 10, 2018
The Stan Math Library is a C++, reverse-mode automatic differentiation library designed to be usable, extensive and e…
21st Century AD
Forward Mode Automatic Differentiation for Julia
Julia
Updated Mar 1, 2019
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimizatio…
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
C++
Updated Sep 3, 2018
Heterogeneous automatic differentiation ("backpropagation") in Haskell
backprop
graph
backpropagation
deep-learning
neural-network
gradient-descent
automatic-differentiation
Haskell
Updated Nov 14, 2018
Julia port of the Python autograd package.
Julia
Updated Mar 3, 2019
Reverse Mode Automatic Differentiation for Julia
Julia
Updated Sep 24, 2018
A julia package for Taylor polynomial expansions in one or more independent variables.
Julia
Updated Mar 21, 2019
automatic differentiation made easier for C++
automatic-differentiation
auto-differentiation
autodiff
autodifferentiation
differentiation
derivatives
numerical-derivation
C++
Updated Feb 20, 2019
Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.
Julia
Updated Feb 19, 2019
Numerically solves equations of motion for a given Hamiltonian function
Python
Updated Feb 11, 2018
Tensors and differentiable operations (like TensorFlow) in Rust
Rust
Updated Aug 10, 2018
Kotlin𝛁: Differentiable Functional Programming with Algebraic Data Types
automatic-differentiation
differentiable-programming
autograd
backpropagation
computer-algebra
algebra
functional-programming
kotlin
TeX
Updated Mar 16, 2019
Source Code Generation for Automatic Differentiation using Operator Overloading
differentiation
c-plus-plus
algorithmic-differentation
mathml
dae
latex
automatic-differentiation
jit
C++
Updated Jan 5, 2019
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathema…
C#
Updated Jul 30, 2018
ODE integration using Taylor's method, and more, in Julia
julia
ode-solver
taylor-series
automatic-differentiation
jet-transport
high-accuracy
lyapunov-spectrum
Julia
Updated Mar 19, 2019
Method of Manufactured Solutions Repository
C++
Updated Jan 10, 2018
QuantumFlow: A Quantum Algorithms Development Toolkit
Python
Updated Mar 7, 2019
Reverse-mode automatic differentiation in Julia
Julia
Updated Mar 14, 2019
Julia
Updated Mar 22, 2019
A symbolic math library written in Julia modelled off scmutils