Projects in Awesome Lists tagged with differentiable-programming

https://github.com/taichi-dev/taichi

Productive, portable, and performant GPU programming in Python.

computer-graphics differentiable-programming gpu gpu-programming sparse-computation taichi

Last synced: 12 May 2025

https://github.com/tensorflow/swift

Swift for TensorFlow

differentiable-programming machine-learning tensorflow

Last synced: 30 Sep 2025

https://github.com/taichi-dev/difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

differentiable-programming gpu graphics robotics simulation taichi

Last synced: 16 Jul 2025

https://github.com/probcomp/gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 05 Oct 2025

https://probcomp.github.io/Gen

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 19 Jul 2025

https://github.com/probcomp/Gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 15 Mar 2025

https://github.com/enzymead/enzyme

High-performance automatic differentiation of LLVM and MLIR.

ad automatic-differentiation c clang compiler cpp deep-learning derivative differentiable-programming enzyme gradient high-performance llvm llvm-enzyme machine-learning pytorch rust scientific-computing simulation tensorflow

Last synced: 31 Jan 2026

https://github.com/EnzymeAD/Enzyme

High-performance automatic differentiation of LLVM and MLIR.

ad automatic-differentiation c clang compiler cpp deep-learning derivative differentiable-programming enzyme gradient high-performance llvm llvm-enzyme machine-learning pytorch rust scientific-computing simulation tensorflow

Last synced: 20 Mar 2025

https://github.com/pnnl/neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

constrained-optimization control-systems deep-learning differentiable-control differentiable-optimization differentiable-programming dynamical-systems nonlinear-dynamics nonlinear-optimization physics-informed-ml pytorch

Last synced: 14 May 2025

https://github.com/ExtensityAI/symbolicai

Compositional Differentiable Programming Library

differentiable-programming machine-learning object-oriented-programming symbolic-execution-engine

Last synced: 14 Mar 2025

https://github.com/google/jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

bi-level deep-learning differentiable-programming jax optimization

Last synced: 21 Oct 2025

https://github.com/tensorflow/swift-apis

Swift for TensorFlow Deep Learning Library

deep-learning differentiable-programming swift tensorflow

Last synced: 30 Sep 2025

https://github.com/pytorchbearer/torchbearer

torchbearer: A model fitting library for PyTorch

deep-learning differentiable-programming machine-learning model-fitting python3 pytorch

Last synced: 16 Jan 2026

https://github.com/metaopt/torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

automatic-differentiation bilevel-optimization deep-learning differentiable-optimization differentiable-programming functional-programming implicit-differentiation meta-learning meta-reinforcement-learning meta-rl optimization optimizer pytorch

Last synced: 13 Apr 2025

https://github.com/um-arm-lab/pytorch_kinematics

Robot kinematics implemented in pytorch

differentiable-programming jacobian kinematics pytorch robotics

Last synced: 14 May 2025

https://github.com/breandan/kotlingrad

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

algebraic-data-types array-programming automatic-differentiation chinese computer-algebra differentiable-programming gradient-descent kotlin linear-algebra message-passing multi-stage-programming optimization shape-safety symbolic-differentiation types

Last synced: 15 May 2025

https://github.com/enzymead/enzyme.jl

Julia bindings for the Enzyme automatic differentiator

ad automatic-differentiation compiler differentiable-programming enzyme julia llvm machine-learning

Last synced: 29 Jan 2026

https://github.com/EnzymeAD/Enzyme.jl

Julia bindings for the Enzyme automatic differentiator

ad automatic-differentiation compiler differentiable-programming enzyme julia llvm machine-learning

Last synced: 18 Oct 2025

https://github.com/kach/gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

deep-learning differentiable-programming machine-learning neurips neurips-2022 pytorch

Last synced: 05 Apr 2025

https://github.com/deepmodeling/jax-fem

Differentiable Finite Element Method with JAX

differentiable-programming finite-element-methods jax topology-optimization

Last synced: 15 May 2025

https://github.com/lukaszahradnik/pyneuralogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

deep-learning differentiable-programming geometric-deep-learning graph-neural-networks logic-programming machine-learning python pytorch relational-learning

Last synced: 16 Jan 2026

https://github.com/ctongfei/nexus

Experimental tensor-typed deep learning

deep-learning differentiable-programming neural-network probabilistic-programming scala tensor

Last synced: 09 May 2025

https://github.com/sciml/integrals.jl

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

algorithmic-differentiation automatic-differentiation differentiable-programming integration julia julia-language julialang numerical-integration quadrature scientific-machine-learning sciml

Last synced: 15 May 2025

https://github.com/SciML/Integrals.jl

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

algorithmic-differentiation automatic-differentiation differentiable-programming integration julia julia-language julialang numerical-integration quadrature scientific-machine-learning sciml

Last synced: 04 May 2025

https://github.com/avik-pal/raytracer.jl

Differentiable RayTracing in Julia

differentiable-programming gradient-descent inverse-rendering julia machine-learning mesh-rendering optimization ray-tracer raytracer

Last synced: 17 Mar 2025

https://github.com/astro-informatics/s2fft

S2FFT: Differentiable and accelerated spherical transforms

differentiable-programming fourier-transform jax pytorch recursion-algorithm spherical spherical-harmonics wigner-d-matrix wigner-transform

Last synced: 16 May 2025

https://github.com/sciml/nbodysimulator.jl

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

algorithmic-differentiation automatic-differentiation differentiable-programming geometric-algorithms molecular-dynamics molecular-dynamics-simulation scientific-machine-learning sciml symbolic-integration

Last synced: 21 Oct 2025

https://github.com/grinisrit/noa

Differentiable Programming Algorithms in Modern C++

algorithmic-trading bayesian-methods cpp17 deep-learning differentiable-programming game-development optimisation-algorithms optimization particle-physics simulation streaming-analytics

Last synced: 04 Apr 2025

https://github.com/kach/memo

A probabilistic programming language for metacognitive modeling

cognitive-science differentiable-programming jax probabilistic-programming python

Last synced: 16 Jan 2026

https://github.com/jump-dev/diffopt.jl

Differentiating convex optimization programs w.r.t. program parameters

differentiable-programming julia mathematical-modelling optimization

Last synced: 09 Apr 2025

https://github.com/sciml/preallocationtools.jl

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

automatic-differentiation differentiable-programming garbage-collection high-performance-computing

Last synced: 28 Jan 2026

https://github.com/ucl-bug/jaxdf

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

differentiable-programming discretization jax pde

Last synced: 13 May 2025

https://github.com/SciML/PreallocationTools.jl

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

automatic-differentiation differentiable-programming garbage-collection high-performance-computing

Last synced: 10 Apr 2025

https://github.com/GustikS/NeuraLogic

Deep relational learning through differentiable logic programming.

deep-learning differentiable-programming logic-programming machine-learning relational-learning

Last synced: 10 Jan 2026

https://github.com/gustiks/neuralogic

Deep relational learning through differentiable logic programming.

deep-learning differentiable-programming logic-programming machine-learning relational-learning

Last synced: 13 Apr 2025

https://github.com/control-toolbox/optimalcontrol.jl

Model and solve optimal control problems in Julia

control-systems differentiable-programming differential-geometry geometry julia nonlinear-equations numerical-methods optimal-control optimization optimization-algorithms ordinary-differential-equations quantum-optimal-control

Last synced: 05 Apr 2025

https://github.com/xanaduai/mrmustard

A differentiable bridge between phase space and Fock space

differentiable-programming optimization photonics photonics-circuits photonics-computing photonicsindustry quantum quantum-circuits quantum-computing quantum-machine-learning quantum-optics

Last synced: 16 May 2025

https://github.com/cvxgrp/cocp

Source code for the examples accompanying the paper "Learning convex optimization control policies."

control-systems convex-optimization differentiable-programming learning

Last synced: 13 Apr 2025

https://github.com/pasteurlabs/tesseract-core

Universal, autodiff-native software components for Simulation Intelligence. 📦

api-rest automatic-differentiation containers differentiable-programming remote-procedure-calls scientific-machine-learning

Last synced: 08 Jan 2026

https://github.com/esa/dsgp4

dSGP4: differentiable SGP4. Supports differentiability, ML integration & embarassingly parallel computations

astrodynamics differentiable-programming embarassingly-parallel machine-learning orbital-dynamics orbital-mechanics orbital-propagation sgp4 space-debris

Last synced: 06 Apr 2025

https://github.com/leo1200/astronomix

differentiable (magneto)hydrodynamics for astrophysics in JAX

astrophysics differentiable-programming differentiable-simulations fluid-dynamics jax mhd-simulation

Last synced: 13 Jan 2026

https://github.com/luisagroup/luisa-compute-rs

Rust frontend to LuisaCompute and more!

computer-graphics cuda differentiable-programming differentiable-rendering directx dsl dx gpu gpu-programming graphics raytracing rendering rust shading-language vulkan

Last synced: 20 Aug 2025

https://github.com/eelregit/mcfit

multiplicatively convolutional fast integral transforms, implementing FFTLog

cosmology differentiable-programming fftlog integral-transform jax numerical-integration

Last synced: 03 Oct 2025

https://github.com/alonfnt/pcax

Differentiable Principal Component Analysis (PCA) implementation in JAX

differentiable-programming dimensionality-reduction jax pca

Last synced: 02 Jul 2025

https://github.com/kach/designing-perceptual-puzzles-by-differentiating-probabilistic-programs

Supplementary materials for our SIGGRAPH 2022 paper

differentiable-programming probabilistic-programming siggraph

Last synced: 12 Apr 2025

https://github.com/qiauil/convdo

Convolutional Differential Operators for Physics-based Deep Learning Study

convolution deep-learning differentiable-programming differential-equations physics simulation

Last synced: 22 Jul 2025

https://github.com/matsunagalab/mdtoolbox.jl

MDToolbox.jl: A Julia package for molecular dynamics trajectories analysis and modeling of biomolecules

biomolecule differentiable-programming julia molecular-dynamics

Last synced: 15 Apr 2025

https://github.com/pasteurlabs/tesseract-jax

Execute + differentiate Tesseracts as part of JAX programs, with full support for function transformations like JIT, grad, and more. ⚡

automatic-differentiation differentiable-programming jax remote-procedure-call scientific-machine-learning tesseract

Last synced: 09 Sep 2025

https://github.com/tensorush/awesome-physics-programming

😎 ☄️ Collection of the most awesome learning resources on physics programming in the form of videos, tutorials and frameworks.

awesome awesome-list computational-fluid-dynamics computational-physics computer-graphics deep-learning deep-learning-physics differentiable-programming fluid-dynamics fluid-simulation frameworks learning learning-resources machine-learning physics physics-deep-learning physics-simulation programming programming-tools quantum-computing

Last synced: 08 Apr 2025

https://github.com/belkakari/cellular-automata-pytorch

A reproduction and tweaking of Growing Neural Cellular Automata

cellular-automata deep-learning differentiable-programming pytorch

Last synced: 27 Apr 2025

https://github.com/wangleiphy/TRG

Differentiable Tensor Renormalization Group for square Ising

differentiable-programming ising-model tensor-renormalization-group

Last synced: 27 Mar 2025

https://github.com/kurtschelfthout/minidiff

A minimal reference implementation of automatic differentiation in Rust

automatic-differentiation differentiable-programming reference-implementation rust

Last synced: 10 Jul 2025

https://github.com/fluxml/diffimages.jl

Differentiable Computer Vision using pure Julia

computer-vision differentiable-programming julia

Last synced: 28 Apr 2025

https://github.com/sail-sg/jrystal

A JAX-based Differentiable Density Functional Theory Framework for Materials

density-functional-theory differentiable-programming electron-structure jax material-science quantum-chemistry solid-state

Last synced: 07 Jul 2025

https://github.com/ivanyashchuk/jax-firedrake

Differentiable interface to Firedrake for JAX

adjoint automatic-differentiation differentiable-programming firedrake jax tangent tangent-linear

Last synced: 03 Feb 2026

https://github.com/astro-informatics/s2wav

Differentiable and accelerated wavelet transform on the sphere with JAX

dictionary differentiable-programming jax sphere spherical-harmonics wavelet-transform

Last synced: 24 Jul 2025

https://github.com/namin/relaxed-machines

program synthesis with neuro-symbolic differentiable interpreters

differentiable-programming interpreters jax neuro-symbolic paper-implementations synthesis

Last synced: 25 Oct 2025

https://github.com/astro-informatics/s2scat

Differentiable and GPU accelerated scattering covariance statistics on the sphere

compression differentiable-programming emulation generative-model jax scattering-transform spherical statistics wavelets

Last synced: 24 Jul 2025

https://github.com/ghost---shadow/differentiable-programming-handbook

Differentiable implementation of common computer science algorithms

differentiable-programming gradient-descent gradient-tape tensorflow

Last synced: 29 Oct 2025

https://github.com/alexjc/pytrain

🚃 Automated task/test framework for writing differentiable software.

deep-learning differentiable-programming python pytorch

Last synced: 15 Apr 2025

https://github.com/astro-informatics/s2ball

Differentiable and accelerated wavelet transform on the ball with JAX

ball differentiable-programming harmonic-analysis jax wavelet-transform

Last synced: 12 Sep 2025

https://github.com/chakravala/Grassmann.wl

⟨Leibniz-Grassmann-Clifford⟩ multilinear differential geometric algebra

algebra automatic-differentiation clifford-algebras complex-numbers computational-geometry computer-algebra differentiable-programming differential-geometry geometric-algebra lie-groups linear-algebra mathematica quantum-computing quaternion sparse tensor tensor-algebra topology wolfram wolfram-language

Last synced: 22 Jul 2025

https://github.com/chakravala/grassmann.wl

⟨Leibniz-Grassmann-Clifford⟩ multilinear differential geometric algebra

algebra automatic-differentiation clifford-algebras complex-numbers computational-geometry computer-algebra differentiable-programming differential-geometry geometric-algebra lie-groups linear-algebra mathematica quantum-computing quaternion sparse tensor tensor-algebra topology wolfram wolfram-language

Last synced: 26 Dec 2025

https://github.com/hypercoil/hypercoil

A differentiable program for mapping brain function

brain-connectivity brain-imaging differentiable-programming fmri image-processing neuroimaging time-series

Last synced: 18 Jan 2026

https://github.com/emaballarin/foveatorch

👀🔥 Differentiable foveated vision for Deep Learning methods

computational-neuroscience computer-vision deep-learning differentiable-programming foveated-rendering machine-learning

Last synced: 14 Apr 2025

https://github.com/wrsturgeon/dxpr

crates.io: Differentiable expression templates in Rust.

autodiff crates-io differentiable differentiable-programming expression-templates rust

Last synced: 17 Aug 2025

https://github.com/matsunagalab/colabbtr

End-to-end differentiable blind tip reconstruction on Colab implemented with PyTorch

afm atomic-force-microscopy blind-tip-reconstruction differentiable-programming

Last synced: 13 Oct 2025

https://github.com/junyixu/trixienzyme.jl

Autodiff via Enzyme.jl for Trixi.jl

autodiff cfd differentiable-programming enzyme hpc llvm pde scientific-computing

Last synced: 15 Apr 2025

https://github.com/alonfnt/cinx

Minimal, differentible, fast cubic interpolation in JAX

cubic-interpolation differentiable-programming jax splines

Last synced: 20 Jul 2025

https://github.com/oemanuelfirmino/neuro-sym-model

A Python-based neuro-symbolic AI framework combining neural networks and symbolic logic. Implements custom tensors with autograd, neural layers, logic ASTs, and an interpreter to learn from facts and rules. Supports training, inference, and command-line execution without deep learning libraries.

differentiable-programming discrete-mathematics neural-networks python symbolic-ai symbolic-computation