GitHub topics: autodifferentiation
neuronika/neuronika
Tensors and dynamic neural networks in pure Rust.
Language: Rust - Size: 55.8 MB - Last synced at: about 23 hours ago - Pushed at: almost 3 years ago - Stars: 1,085 - Forks: 55
uwplasma/PyPIC3D
PyPIC3D is a 3D particle-in-cell code written in Python using Jax.
Language: Python - Size: 46.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1
mntsx/thoad
Lightweight Python 3.12+ autodifferentiation system that leverages PyTorch’s computational graph to compute arbitrary-order derivatives, enabling advanced gradient-based workflows.
Language: Python - Size: 416 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0
coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
Language: Rust - Size: 2.6 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 1,838 - Forks: 104
lmfit/uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Language: Python - Size: 8.94 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 627 - Forks: 84
shaysingh818/dendritic
Iterative optimization library
Language: Rust - Size: 28.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 0
andreaslam/TensorOps
TensorOps - A Work-In-Progress Autodiff Library
Language: Python - Size: 11.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0
rillki/tiny-autodiff
A tiny autograd library made for educational purposes.
Language: D - Size: 87.9 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 1
ai-glimpse/toydl
ToyDL: Deep Learning from Scratch
Language: Python - Size: 1.77 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0
JamesYang007/FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Language: C++ - Size: 1.13 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 109 - Forks: 3
artificial-scientist-lab/XLuminA
XLuminA, a highly-efficient, auto-differentiating discovery framework for super-resolution microscopy.
Language: Python - Size: 16.2 MB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 47 - Forks: 9
theolepage/tensorflood
Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.
Language: Python - Size: 5.4 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0
tiandiweizun/autodiff
200行写一个自动微分工具
Language: Python - Size: 170 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 51 - Forks: 11
clinder2/AutoDiffLib
Repo for playing around with autodifferentiation in several languages, using dual numbers, etc.
Language: C++ - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
EnzymeAD/enzyme-dev-docker
🚢 Portable development environment for Enzyme
Language: Dockerfile - Size: 125 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1
autodiff/autodiff
automatic differentiation made easier for C++
Language: C++ - Size: 1.89 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 1,770 - Forks: 181
bpesquet/pyfit
A minimalist neural networks library built on a tiny autograd engine
Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 3
codereckons/fluxion
C++20 numerical and analytical derivative computations
Language: C++ - Size: 1.31 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 11 - Forks: 1
msminhas93/ferric-micrograd
A rust implementation of Andrej Karpathy's Micrograd
Language: Rust - Size: 41 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 9 - Forks: 1
edxmorgan/diff_uv
A differentiable underwater vehicle dynamics in body and ned(euler & quaternion).
Language: Python - Size: 1.93 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 14 - Forks: 5
rsokl/MyGrad
Drop-in autodiff for NumPy.
Language: Python - Size: 14.6 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 207 - Forks: 21
Nicholaswogan/Differentia
Forward mode automatic differentiation for Fortran
Language: Fortran - Size: 80.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 18 - Forks: 2
jecampagne/JaxTutos
JAX Tutorial notebooks : basics, crash & tips, usage of optax/JaxOptim/Numpyro
Language: Jupyter Notebook - Size: 35.6 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 2
Renovamen/flint
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
Language: Python - Size: 302 KB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 2
dvdblk/micrograd-ports
micrograd (smol autodiff lib by @karpathy) ported into Haskell and Swift
Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
SuryaNarayanaa/QuantGrad
A Small(Quant) Auto Grad Library with visualization of individual operations within Neurons
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
diku-dk/autodiff
Utilities for automatic differentiation in Futhark
Language: Futhark - Size: 18.6 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1
3outeille/Yaae
Yaae: Yet another autodiff engine (written in Numpy).
Language: Python - Size: 77.9 MB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 0
oberbichler/HyperJet
Algorithmic differentiation with hyper-dual numbers in C++ and Python
Language: C++ - Size: 2.38 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4
ExcessPhase/reverse_mode_automatic_differentiation
A library for reverse mode automatic differentiation
Language: C++ - Size: 1.57 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
jaimeliew1/Dualitic
Dualitic is a Python package for forward mode automatic differentiation using dual numbers.
Language: Python - Size: 255 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
ceenaa/MLP
Multi layer perceptron implementation from scratch using only numpy
Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
abap34/JITrench.jl 📦
[wip] Lightweight Automatic Differentiation & DeepLearning Framework implemented in pure Julia.
Language: Julia - Size: 4.95 MB - Last synced at: about 7 hours ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 0
Wisaacj/oxicodin
Reverse-Mode Auto-Differentiation Engine in Rust. Reproducing Andrej Karpathy's Micrograd.
Language: Rust - Size: 31.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
unrenormalizable/micrograd.rs
Rust port of Karpathy's micrograd & associated stuff.
Language: Rust - Size: 54.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Eshaancoding/AutoDiff
Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
Language: C++ - Size: 1.67 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0
yizhang-yiz/fazang
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
Language: C - Size: 37 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 3
RSuryaNarayan/CEMA
Chemical Explosive Mode Analysis for computational/experimental combustion diagnostics using Julia SciML features
Language: Jupyter Notebook - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 5
marcromani/cascade
Lightweight automatic differentiation and error propagation library
Language: C++ - Size: 3.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
HamletWantToCode/Readings
Realization of models from existing papers
Language: Python - Size: 2.86 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
ScipioneParmigiano/autodiff
Cpp library for automatic differentiation and gradient-based optimization
Language: C++ - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
Amiannn/Neural-Network
Simple neural network and automatic differentiation implementation
Language: JavaScript - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
rejuvyesh/PyCallChainRules.jl
Differentiate python calls from Julia
Language: Julia - Size: 245 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 56 - Forks: 2
sokmontrey/nodeflow
A simple and highly extensible Computational graph library written in C++ with the support of auto diff.
Language: C++ - Size: 2.4 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
Xylambda/toydiff
Yet another tensor automatic differentiation framework
Language: Python - Size: 774 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1
NickyGuants/micrograd
My implementation of Andrej Kaparthy's Micrograd library for back propagation and simple neural net training
Language: Jupyter Notebook - Size: 101 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
briochemc/F1Method.jl
F-1 method
Language: Julia - Size: 502 KB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
gbelouze/forward-gradient
Experiments with forward gradients on optimization test functions
Language: Python - Size: 535 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0
scala-infer/scala-infer
Scala embedded universal probabilistic programming language
Language: Scala - Size: 414 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 3
lorenzoliuzzo/scipp
c++ header-only library for scientific programming.
Language: C++ - Size: 20.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
gden173/nanograd
A Micrograd inspired (and largely copied) small autodiff engine.
Language: Jupyter Notebook - Size: 450 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
jacopotagliabue/Automatic-differentiation-with-dual-numbers
A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation
Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
domcorvasce/toygrad 📦
A toy forward-mode autodiff utility written in Python
Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
rizTaak/autodiff
Simple automatic differentiation implementation in python
Language: Python - Size: 89.8 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
sreenivasanramesh/MachineLearningSystems
Assignments for Data Intensive Systems for Machine Learning Coursework
Language: Python - Size: 1.86 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2
michaellavelle/autograd Fork of ml4jarchive/autograd
A tiny autograd adapter implemented in Java with PyTorch-like API.
Language: Java - Size: 173 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
Howuhh/autograd_but_smaller
Simple implementation of reverse-mode automatic differentiation on numpy arrays
Language: Jupyter Notebook - Size: 151 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
rixsilverith/nablagrad
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
Language: C++ - Size: 59.6 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
oberbichler/HyperGraph
Reversed mode second order automatic differentiation for python (WIP)
Language: C++ - Size: 1.53 MB - Last synced at: 10 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 0
jfriedlein/Sacado_Tensors_dealII
Testing capabilities of Trilinos-Sacado in combination with e. g. tensors
Language: C++ - Size: 14 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
cs107-zapn/cs107-FinalProject
zapnAD: An auto-differentiation package.
Language: Python - Size: 16.9 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
shubhamjha97/computational-graph
A simple library for building computational graphs with autodiff support.
Language: Python - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
isaacveg/Yacc-lex-for-reversed-automatic-differentiation
yacc lex for reversed automatic differentiation
Language: C - Size: 101 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0
collinwa/cpp_grad
An Implementation of Reverse-Mode Autodifferentiation in C++, inspired by micrograd.
Language: C++ - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
ahmadyan/Jet
Autodifferentiation engine forked from Ceres-Solver
Language: C++ - Size: 45.9 KB - Last synced at: 6 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0
metabolize-forks/chumpy Fork of mattloper/chumpy
Fork of Matt Loper's autodifferentiation framework for Python
Language: Python - Size: 205 KB - Last synced at: 19 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2
