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Productive, portable, and performant GPU programming in Python.
Created
2016-11-24
10,839 commits to master branch, last one about a month ago
Swift for TensorFlow
This repository has been archived
(exclude archived)
Created
2018-04-24
599 commits to main branch, last one 3 years ago
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Created
2019-12-03
110 commits to master branch, last one 7 months ago
A general-purpose probabilistic programming system with programmable inference
Created
2018-08-21
1,349 commits to master branch, last one 25 days ago
High-performance automatic differentiation of LLVM and MLIR.
Created
2019-02-27
2,021 commits to main branch, last one 3 days ago
Compositional Differentiable Programming Library
Created
2022-11-30
751 commits to main branch, last one a day ago
Hardware accelerated, batchable and differentiable optimizers in JAX.
Created
2021-07-12
688 commits to main branch, last one 15 days ago
Swift for TensorFlow Deep Learning Library
This repository has been archived
(exclude archived)
Created
2019-02-12
1,004 commits to main branch, last one 3 years ago
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Created
2020-10-14
534 commits to master branch, last one a day ago
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
face
pytorch
graphics
raytracing
3d-graphics
optimization
deep-learning
face-detection
morphable-model
face-recognition
shape-from-image
inverse-rendering
shape-from-shading
face-reconstruction
spherical-harmonics
3d-face-reconstruction
reflectance-from-image
differentiable-rendering
differentiable-programming
Created
2022-04-12
88 commits to main branch, last one 7 months ago
torchbearer: A model fitting library for PyTorch
Created
2018-03-12
442 commits to master branch, last one 5 months ago
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
Created
2018-10-19
1,669 commits to master branch, last one about a year ago
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Created
2022-04-08
259 commits to main branch, last one 7 days ago
Julia bindings for the Enzyme automatic differentiator
Created
2019-09-06
1,057 commits to main branch, last one 2 days ago
Code for our NeurIPS 2022 paper
Created
2022-10-04
3 commits to main branch, last one about a year ago
Robot kinematics implemented in pytorch
Created
2021-01-21
195 commits to master branch, last one 2 months ago
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Created
2022-04-19
29 commits to main branch, last one 22 days ago
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Created
2021-02-24
21 commits to main branch, last one about a year ago
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Created
2020-12-06
955 commits to master branch, last one 18 days ago
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Created
2019-08-08
635 commits to master branch, last one about a month ago
Differentiable Finite Element Method with JAX
Created
2023-10-02
188 commits to main branch, last one 14 days ago
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.
control-systems
motion-planning
optimal-control
control-learning
learning-control
dynamical-systems
imitation-learning
end-to-end-learning
system-identification
reinforcement-learning
trajectory-optimisation
trajectory-optimization
differentiable-programming
pontryagin-maximum-principle
inverse-reinforcement-learning
reinforcement-learning-environments
Created
2020-01-01
36 commits to master branch, last one 7 months ago
Differentiable RayTracing in Julia
Created
2019-03-17
176 commits to master branch, last one 2 years ago
Differentiable Programming Algorithms in Modern C++
Created
2020-09-16
905 commits to master branch, last one 3 months ago
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
Created
2018-07-24
172 commits to master branch, last one 26 days ago
Differentiating convex optimization programs w.r.t. program parameters
Created
2020-05-21
714 commits to master branch, last one 23 hours ago
Differentiable and accelerated spherical transforms with JAX
Created
2022-03-01
751 commits to main branch, last one 29 days ago
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Created
2021-07-30
294 commits to master branch, last one 25 days ago
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
Created
2021-09-08
314 commits to main branch, last one 6 months ago
Deep relational learning through differentiable logic programming.
Created
2018-02-21
479 commits to master branch, last one 23 days ago