Search Results - RepositoryStats

364

7.6k

apache-2.0

55

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

llm onnx rust wasm tensor webgpu ndarray pytorch autodiff autotune concurrency deep-learning kernel-fusion cross-platform neural-network high-performance machine-learning scientific-computing

Created 2022-07-18

1,213 commits to main branch, last one 16 hours ago

tangent google

433

2.3k

apache-2.0

67

Source-to-Source Debuggable Derivatives in Pure Python

autodiff deep-learning machine-learning automatic-differentiation

This repository has been archived (exclude archived)

Created 2017-10-26

68 commits to master branch, last one 5 years ago

dfdx coreylowman

98

1.7k

other

34

Deep learning in Rust, with shape checked tensors and neural networks

gpu cuda rust cudnn tensor autodiff autograd rust-lang cuda-kernels cuda-support cuda-toolkit deep-learning gpu-computing neural-network backpropagation gpu-acceleration machine-learning autodifferentiation deep-neural-networks

Created 2021-10-12

890 commits to main branch, last one 5 months ago

autodiff autodiff

166

1.6k

mit

42

automatic differentiation made easier for C++

autodiff derivatives differentiation autodifferentiation auto-differentiation numerical-derivation automatic-differentiation

Created 2018-07-19

589 commits to main branch, last one 21 days ago

DiffSharp DiffSharp

67

577

bsd-2-clause

39

DiffSharp: Differentiable Functional Programming

gpu dotnet tensor autodiff deep-learning neural-network machine-learning

Created 2014-08-28

2,131 commits to dev branch, last one 8 months ago

uncertainties lmfit

72

556

other

13

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

autodiff uncertainties differentiation error-propagation autodifferentiation

Created 2010-06-11

2,636 commits to master branch, last one 18 days ago

autobound google

18

350

apache-2.0

10

AutoBound automatically computes upper and lower bounds on functions.

jax autodiff interval-arithmetic

Created 2022-11-23

40 commits to main branch, last one 7 months ago

betty leopard-ai

27

326

apache-2.0

8

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

pytorch autodiff deep-learning meta-learning machine-learning bilevel-optimization reinforcement-learning artificial-intelligence multilevel-optimization implicit-differentiation automatic-differentiation neural-architecture-search hyperparameter-optimization

Created 2022-06-29

453 commits to main branch, last one 21 hours ago

MyGrad rsokl

21

186

mit

16

Drop-in autodiff for NumPy.

numpy autodiff autograd backpropagate deep-learning autodifferentiation

Created 2017-07-17

1,556 commits to master branch, last one 23 days ago

DifferentiationInterface.jl gdalle

9

129

mit

7

An interface to various automatic differentiation backends in Julia.

ad julia autodiff differentiation machine-learning automatic-differentiation

Created 2024-01-09

231 commits to main branch, last one 11 hours ago

ImplicitDifferentiation.jl JuliaDecisionFocusedLearning

7

122

mit

5

Automatic differentiation of implicit functions

julia autodiff implicit optimization machine-learning automatic-differentiation

Created 2022-03-28

143 commits to main branch, last one a day ago

cl-waffe2 hikettei

5

121

mit

11

[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp

ai math autodiff optimizing common-lisp matrix-operations deep-learning-framework

Created 2023-05-21

1,435 commits to master branch, last one 16 days ago

Infermo TilliFe

8

119

apache-2.0

4

Tensors and dynamic Neural Networks in Mojo

ai ml mlp mojo mnist conv2d modular autodiff autograd training transformer deep-learning neural-network autograd-engine automatic-differentiation

Created 2023-09-23

77 commits to main branch, last one 5 months ago

exprgrad can-lehmann

1

116

apache-2.0

7

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

ml dsl nim llvm opencl tensor autodiff compiler gradient deep-learning neural-network machine-learning automatic-differentiation

Created 2021-10-06

143 commits to main branch, last one about a year ago

SmallPebble sradc

14

115

apache-2.0

4

Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

cupy numpy python autodiff deep-learning neural-network machine-learning

Created 2021-02-03

136 commits to main branch, last one about a year ago

Birch lawmurray

14

107

apache-2.0

14

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

autodiff bayesian statistics data-science bayesian-methods machine-learning bayesian-inference bayesian-statistics monte-carlo-methods monte-carlo-sampling machine-learning-projects machine-learning-algorithms probabilistic-programming-languages

Created 2016-12-29

5,223 commits to master branch, last one 7 days ago

catalyst PennyLaneAI

26

101

apache-2.0

12

A JIT compiler for hybrid quantum programs in PennyLane

jax jit qir llvm mlir python quantum autodiff pennylane quantum-compiler quantum-computing automatic-differentiation

Created 2023-02-17

546 commits to main branch, last one 14 hours ago

sunode pymc-devs

10

100

mit

22

Solve ODEs fast, with support for PyMC

pymc autodiff sundials ordinary-differential-equations

Created 2019-08-08

162 commits to master branch, last one about a month ago

FastAD JamesYang007

4

94

mit

5

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

math cpp17 linux macos autodiff derivatives differentiation autodifferentiation auto-differentiation automatic-differentiation

Created 2019-04-17

375 commits to master branch, last one 9 months ago

autodiff alexshtf

11

88

mit

9

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

math autodiff gradient mathematics optimization mathematical-modelling automatic-differentiation

Created 2017-08-03

142 commits to master branch, last one 5 years ago

jaxgptoolbox ml-for-gp

6

81

other

2

Geometry processing utilities compatible with jax for autodifferentiation.

python autodiff machine-learning computer-graphics geometry-processing

Created 2021-08-05

36 commits to main branch, last one about a year ago

easytorch songlei00

4

76

mit

1

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。

autodiff autograd deep-learning

Created 2021-04-02

11 commits to main branch, last one 3 years ago

Nabla.jl invenia

5

67

other

16

A operator overloading, tape-based, reverse-mode AD

julia autodiff julia-language automatic-differentiation

This repository has been archived (exclude archived)

Created 2017-03-23

335 commits to master branch, last one about a year ago

ccml t4minka

2

64

unknown

2

simple autodiff library

tensor autodiff machine-learning

Created 2024-04-24

22 commits to main branch, last one 3 days ago

numpy-nn-model AkiRusProd

4

54

unknown

2

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

gan vae mnist autodiff autograd auto-diff autoencoder numpy-model deep-learning neural-network machine-learning auto-differentiation numpy-neural-network variational-autoencoder automatic-differentiation convolutional-neural-network generative-adversarial-network

Created 2022-02-21

92 commits to master branch, last one 12 days ago

Torsten metrumresearchgroup

11

52

bsd-3-clause

13

library of C++ functions that support applications of Stan in Pharmacometrics

mpi ode mcmc pkpd stan openmp autodiff pharmacometrics inference-engine

Created 2018-03-09

600 commits to master branch, last one 3 months ago

ChainRulesTestUtils.jl JuliaDiff

15

50

mit

11

Utilities for testing custom AD primitives.

autodiff hacktoberfest automatic-differentiation

Created 2020-01-22

451 commits to main branch, last one 6 months ago

dLux LouisDesdoigts

6

42

bsd-3-clause

5

Differentiable optical models as parameterised neural networks in Jax using Zodiax

gpu jax dlux optics python optical autodiff modelling telescope diffraction optimisation optics-simulation

Created 2022-04-29

831 commits to main branch, last one a day ago

fazang yizhang-yiz

3

40

bsd-3-clause

3

Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.

fortran autodiff autodifferentiation automatic-differentiation

Created 2022-01-24

66 commits to main branch, last one 2 years ago

JAX-DIPS JAX-DIPS

1

37

other

6

JAX-DIPS is a differentiable interfacial PDE solver.

jax neural autodiff operator pde-solver differentiable level-set-method

Created 2021-10-19

578 commits to main branch, last one 8 months ago