Gorgonia is a library that helps facilitate machine learning in Go.
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automatic-differentiation
Repositories 104
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 Apr 8, 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
21st Century AD
The Stan Math Library is a C++, reverse-mode automatic differentiation library designed to be usable, extensive and e…
Tensorlang, a differentiable programming language based on TensorFlow
Python
Updated Jan 10, 2018
Forward Mode Automatic Differentiation for Julia
Julia
Updated Apr 11, 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 Apr 5, 2019
Heterogeneous automatic differentiation ("backpropagation") in Haskell
backprop
graph
backpropagation
deep-learning
neural-network
gradient-descent
automatic-differentiation
Haskell
Updated Apr 8, 2019
Julia port of the Python autograd package.
Julia
Updated Mar 23, 2019
automatic differentiation made easier for C++
automatic-differentiation
auto-differentiation
autodiff
autodifferentiation
differentiation
derivatives
numerical-derivation
C++
Updated Mar 28, 2019
Reverse Mode Automatic Differentiation for Julia
Julia
Updated Sep 24, 2018
M.I.T General Circulation Model master code and documentation repository
A julia package for Taylor polynomial expansions in one or more independent variables.
Julia
Updated Apr 26, 2019
Tensors and differentiable operations (like TensorFlow) in Rust
Rust
Updated Apr 7, 2019
Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.
Julia
Updated Apr 16, 2019
Numerically solves equations of motion for a given Hamiltonian function
Python
Updated Feb 11, 2018
Kotlin𝛁: Differentiable Functional Programming with Algebraic Data Types
automatic-differentiation
differentiable-programming
autograd
backpropagation
computer-algebra
algebra
functional-programming
kotlin
TeX
Updated Apr 30, 2019
QuantumFlow: A Quantum Algorithms Development Toolkit
Python
Updated Apr 28, 2019
⟨Grassmann-Clifford-Hestenes-Taylor⟩ differential geometric algebra of hyper-dual multivector forms
geometric-algebra
clifford-algebras
lie-groups
sparse
tensor-algebra
automatic-differentiation
complex-numbers
tensor
quaternion
math
Julia
Updated Apr 27, 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
Method of Manufactured Solutions Repository
C++
Updated Jan 10, 2018
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 Apr 27, 2019
Reverse-mode automatic differentiation in Julia
Julia
Updated Apr 11, 2019

