Productive, portable, and performant GPU programming in Python.
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Updated
Apr 25, 2025 - C++
Productive, portable, and performant GPU 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.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Compositional Differentiable Programming Library
Hardware accelerated, batchable and differentiable optimizers in JAX.
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Swift for TensorFlow Deep Learning Library
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
torchbearer: A model fitting library for PyTorch
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Robot kinematics implemented in pytorch
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
Julia bindings for the Enzyme automatic differentiator
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Differentiable Finite Element Method with JAX
Code for our NeurIPS 2022 paper
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
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