Productive, portable, and performant GPU programming in Python.
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Updated
Dec 23, 2024 - 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.
Compositional Differentiable Programming Library
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Hardware accelerated, batchable and differentiable optimizers in JAX.
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.
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
Robot kinematics implemented in pytorch
Julia bindings for the Enzyme automatic differentiator
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Code for our NeurIPS 2022 paper
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Differentiable Finite Element Method with JAX
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
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