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446

9.0k

apache-2.0

68

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

1,528 commits to main branch, last one 21 hours ago

tangent google

434

2.3k

apache-2.0

66

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This repository has been archived (exclude archived)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 6 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 10 months ago

autodiff autodiff

173

1.7k

mit

43

automatic differentiation made easier for C++

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

Created 2018-07-19

596 commits to main branch, last one 7 days ago

DiffSharp DiffSharp

67

589

bsd-2-clause

40

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 about a year ago

uncertainties lmfit

75

584

other

12

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

autodiff uncertainties differentiation error-propagation autodifferentiation

Created 2010-06-11

2,650 commits to master branch, last one 5 days ago

julia-bootcamp-2022 cpfiffer

79

477

mit

30

This repository has no description...

julia autodiff statistics econometrics bayesian-statistics numerical-optimization

Created 2022-01-03

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

autobound google

19

355

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 about a year ago

Trace microsoft

23

342

mit

9

End-to-end Generative Optimization for AI Agents

ai llm agents python autodiff optimizer end-to-end agentic-agi optimization agentic-workflow compound-systems machine-learning prompt-optimization large-language-models generative-optimization

Created 2024-06-14

320 commits to main branch, last one 6 days ago

betty leopard-ai

27

332

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 4 months ago

MyGrad rsokl

21

196

mit

16

Drop-in autodiff for NumPy.

numpy autodiff autograd backpropagate deep-learning autodifferentiation

Created 2017-07-17

1,584 commits to master branch, last one 2 months ago

DifferentiationInterface.jl JuliaDiff

15

194

mit

7

An interface to various automatic differentiation backends in Julia.

julia autodiff differentiation machine-learning automatic-differentiation

Created 2024-01-09

396 commits to main branch, last one a day ago

cl-waffe2 hikettei

6

142

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 5 months ago

catalyst PennyLaneAI

35

140

apache-2.0

14

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

864 commits to main branch, last one 17 hours ago

Infermo TilliFe

7

125

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

79 commits to main branch, last one 4 months ago

ImplicitDifferentiation.jl JuliaDecisionFocusedLearning

6

123

mit

5

Automatic differentiation of implicit functions

julia autodiff implicit optimization machine-learning automatic-differentiation

Created 2022-03-28

146 commits to main branch, last one about a month ago

SmallPebble sradc

14

120

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 2 years ago

exprgrad can-lehmann

0

119

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

Birch lawmurray

14

112

apache-2.0

15

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