differentiable-programming topic
Pontryagin-Differentiable-Programming
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
cocp
Source code for the examples accompanying the paper "Learning convex optimization control policies."
NeuraLogic
Deep relational learning through differentiable logic programming.
noa
Differentiable Programming Algorithms in Modern C++
minidiff
A minimal reference implementation of automatic differentiation in Rust
DiffDRR
Auto-differentiable digitally reconstructed radiographs in PyTorch
adversarial-code-generation
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
Safe-PDP
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
degraph
Evolving graph plotting with differentiable programming on Tensorflow 2
designing-perceptual-puzzles-by-differentiating-probabilistic-programs
Supplementary materials for our SIGGRAPH 2022 paper