High-performance automatic differentiation of LLVM and MLIR.
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Updated
Jun 3, 2024 - LLVM
High-performance automatic differentiation of LLVM and MLIR.
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Differentiable Symbolic Specification
Julia bindings for the Enzyme automatic differentiator
learning state-space targets in dynamical systems
Differentiating convex optimization programs w.r.t. program parameters
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Compositional Differentiable Programming Library
Productive, portable, and performant GPU programming in Python.
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Hardware accelerated, batchable and differentiable optimizers in JAX.
Differentiable Finite Element Method with JAX
JAX-powered Hi-Fi mocks
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
End-to-end differentiable blind tip reconstruction on Colab implemented with PyTorch
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
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