#Differentiable-programming
Showing 19 of 19 repositories tagged #differentiable-programming, ranked by stars
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Swift for TensorFlow
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.
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Swift for TensorFlow Deep Learning Library
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
torchbearer: A model fitting library for PyTorch
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Julia bindings for the Enzyme automatic differentiator
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
Experimental tensor-typed deep learning
L1: Tensor Studio — The playground for tensors
Differentiable Programming Algorithms in Modern C++
dSGP4: differentiable SGP4. Supports differentiability, ML integration & embarassingly parallel computations
Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
Probabilistic programming with programmable inference for parallel accelerators.
End-to-End Differentiable Trading Pipeline