differentiable-programming

Productive & portable high-performance programming in Python.

Swift for TensorFlow

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

A general-purpose probabilistic programming system with programmable inference

High-performance automatic differentiation of LLVM and MLIR.

Swift for TensorFlow Deep Learning Library

torchbearer: A model fitting library for PyTorch

Hardware accelerated, batchable and differentiable optimizers in JAX.

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

Experimental tensor-typed deep learning

Julia bindings for the Enzyme automatic differentiator

Code for our NeurIPS 2022 paper

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

Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

L1: Tensor Studio — The playground for tensors

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