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