differentiable-programming topic
PreallocationTools.jl
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
pytorch_kinematics
Robot kinematics implemented in pytorch
Awesome-Physics-Programming
😎 ☄️ Collection of the most awesome learning resources on physics programming in the form of videos, tutorials and frameworks.
luisa-compute-rs
Rust frontend to LuisaCompute and more!
diff-SAT
Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
Learning-from-Sparse-Demonstrations
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
PotentialLearning.jl
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable progr...
Teg
A differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities.
symbolicai
Compositional Differentiable Programming Library
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.