Productive, portable, and performant GPU programming in Python.
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Updated
Oct 7, 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
Swift for TensorFlow Deep Learning Library
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
High-performance automatic differentiation of LLVM and MLIR.
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
torchbearer: A model fitting library for PyTorch
Hardware accelerated, batchable and differentiable optimizers in JAX.
Julia bindings for the Enzyme automatic differentiator
Compositional Differentiable Programming Library
Differentiable Finite Element Method with JAX
Robot kinematics implemented in pytorch
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Differentiable Computational Lithogrpahy Framework
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Differentiable Programming Algorithms in Modern C++
A differentiable bridge between phase space and Fock space
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