differentiable-programming
Here are 65 public repositories matching this topic...
Swift for TensorFlow
-
Updated
Jan 12, 2022 - Jupyter Notebook
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
-
Updated
Feb 21, 2022
Ankit Shah and I are trying to use Gen to support a project and would love the addition of a dirichlet distribution
Model summary formatting is rudimentary and could be improved so that tabs align. Potentially use some ideas from swift-benchmark.
https://llvm.org/docs/NewPassManager.html
The tricky part is to keep our custom command line options working.
torchbearer: A model fitting library for PyTorch
-
Updated
Mar 26, 2021 - Python
Debugging Kotlin∇ code within IntelliJ IDEA can be somewhat cumbersome due to the functional API structure (lots of deeply-nested stack traces and context switching). To facilitate more user-friendly debugging, we should add support for visual debugging by exposing Kaliningraph’s built-in graph visualization capabilities. For example, the use
⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex
-
Updated
May 5, 2022 - Julia
Experimental tensor-typed deep learning
-
Updated
Sep 12, 2019 - Scala
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
-
Updated
May 3, 2022 - Jupyter Notebook
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
-
Updated
Apr 17, 2022 - Python
L1: Tensor Studio — The playground for tensors
-
Updated
Jan 7, 2019 - JavaScript
For the reverse CI it would be good to use a multi-threaded testsuite (x-ref EnzymeAD/Enzyme#531)
I think https://github.com/RelationalAI-oss/XUnit.jl is the only alternative to Test that supports this.
Differentiable RayTracing in Julia
-
Updated
Apr 9, 2022 - Julia
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
-
Updated
May 7, 2022 - Python
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
-
Updated
Dec 20, 2021 - Julia
Differentiating convex optimization programs w.r.t. program parameters
-
Updated
May 3, 2022 - Julia
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
-
Updated
Dec 3, 2021 - Julia
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.
-
Updated
Mar 18, 2022 - Python
Source code for the examples accompanying the paper "Learning convex optimization control policies."
-
Updated
Dec 24, 2019 - Jupyter Notebook
Deep relational learning through differentiable logic programming.
-
Updated
May 4, 2022 - Java
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
-
Updated
May 6, 2022 - Python
SAT and Answer Set solver for probability distribution-aware model sampling and multi-models optimization using Differentiable Satisfiability. :::::: Use cases: Probabilistic SAT solving, Probabilistic Answer Set Programming (Probabilistic ASP), ... ::::::
-
Updated
May 6, 2022 - Scala
Differentiable Programming Algorithms in Modern C++
-
Updated
May 4, 2022 - C++
A differentiable bridge between phase space and Fock space
-
Updated
May 6, 2022 - Python
Hitchhiker's Guide to Deep Learning for Computational Scientists
-
Updated
Nov 26, 2018 - Python
Differentiable Duckietown
-
Updated
Jul 27, 2019 - Julia
Evolving graph plotting with differentiable programming on Tensorflow 2
-
Updated
Feb 13, 2020 - Jupyter Notebook
A differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities.
-
Updated
Oct 18, 2021 - Python
Improve this page
Add a description, image, and links to the differentiable-programming topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the differentiable-programming topic, visit your repo's landing page and select "manage topics."


The
taichi.lang.util.warningfunction just prints the warning without consulting the current state of pythons standard librarywarningsmodule.For example: