differentiable-programming

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Here are 36 public repositories matching this topic...

taichi-dev / taichi

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Productive & portable programming language for high-performance, sparse & differentiable computing

taichi stb-image gpu-programming differentiable-programming sparse-computing

Updated Jul 22, 2020
C++

tensorflow / swift

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Swift for TensorFlow

machine-learning tensorflow differentiable-programming

Updated Jul 21, 2020
Jupyter Notebook

yuanming-hu / difftaichi

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10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

robotics simulation gpu graphics taichi differentiable-programming

Updated Jul 4, 2020

probcomp / Gen.jl

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A general-purpose probabilistic programming system with programmable inference

machine-learning computer-vision deep-learning robotics julia-language probabilistic-programming bayesian gen differentiable-programming

Updated Jul 20, 2020
Julia

tensorflow / swift-apis

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Swift for TensorFlow Deep Learning Library

swift deep-learning tensorflow differentiable-programming

Updated Jul 21, 2020
Swift

pytorchbearer / torchbearer

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torchbearer: A model fitting library for PyTorch

machine-learning deep-learning python3 pytorch model-fitting differentiable-programming

Updated Feb 17, 2020
Python

breandan / kotlingrad

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Shape-Safe Differentiable Programming with Algebraic Data Types

kotlin machine-learning types functional-programming computer-algebra automatic-differentiation differentiable-programming

Updated Jul 21, 2020
Kotlin

ctongfei / nexus

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Experimental tensor-typed deep learning

scala deep-learning neural-network probabilistic-programming tensor differentiable-programming

Updated Sep 12, 2019
Scala

chakravala / Grassmann.jl

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⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

topology algebra math computer-algebra linear-algebra automatic-differentiation quantum-computing sparse quaternion complex-numbers computational-geometry differential-geometry tensor lie-groups tensor-algebra geometric-algebra clifford-algebras differentiable-programming

Updated Jul 20, 2020
Julia

mlajtos / L1

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L1: Tensor Studio — The playground for tensors

visualization deep-learning neural-network functional-programming linear-algebra differentiable-programming

Updated Jan 7, 2019
JavaScript

avik-pal / RayTracer.jl

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Differentiable RayTracing in Julia

machine-learning optimization julia ray-tracer raytracer gradient-descent gpu-support mesh-rendering differentiable-programming inverse-rendering

Updated Jul 16, 2020
Julia

SciML / NBodySimulator.jl

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A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

automatic-differentiation molecular-dynamics molecular-dynamics-simulation geometric-algorithms algorithmic-differentiation differentiable-programming symbolic-integration scientific-machine-learning sciml

Updated Jun 19, 2020
Julia

MatthiasNickles / delSAT

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Answer Set & SAT solver for probability distribution-aware sampling and multimodel optimization using Differentiable Satisfiability

optimization artificial-intelligence constraint-programming probabilistic-programming logic-programming gradient-descent sat-solver answer-set-programming satisfiability differentiable-programming statistical-relational-learning psat statistical-relational-ai differentiable-satisfiability

Updated Apr 15, 2020
Scala

cvxgrp / cocp

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Source code for the examples accompanying the paper "Learning convex optimization control policies."

learning control-systems convex-optimization differentiable-programming

Updated Dec 24, 2019
Jupyter Notebook

tejank10 / Duckietown.jl

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Differentiable Duckietown

flux machine-learning simulator self-driving-car autonomous-vehicles differentiable-programming

Updated Jul 27, 2019
Julia

aljabr0 / degraph

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Evolving graph plotting with differentiable programming on Tensorflow 2

graph-algorithms optimization-algorithms differentiable-programming tensorflow2

Updated Feb 13, 2020
Jupyter Notebook

wangleiphy / DL4CSRC

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Hitchhiker's Guide to Deep Learning for Computational Scientists

differentiable-programming learning-representation

Updated Nov 26, 2018
Python

SciML / Quadrature.jl

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A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

integration automatic-differentiation quadrature algorithmic-differentiation differentiable-programming scientific-machine-learning sciml

Updated Jul 10, 2020
Julia

srikumarks / df

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Code for understanding automatic differentiation.

machine-learning haskell automatic-differentiation differentiable-programming

Updated May 9, 2019
Haskell

wangleiphy / TRG

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Differentiable Tensor Renormalization Group for square Ising

ising-model differentiable-programming tensor-renormalization-group

Updated Feb 22, 2019
Julia

wangleiphy / hydrogen

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variationally solve hydrogen atom with autograd

differentiable-programming

Updated May 20, 2019
Python

SciML / DiffEqDevMaterials

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Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)

automatic-differentiation differential-equations algorithmic-differentiation differentiable-programming scientific-machine-learning sciml

Updated Jun 1, 2020
Jupyter Notebook

danilkolikov / dfl

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Differentiable Functional Language

machine-learning neural-networks functional-language differentiable-programming

Updated May 5, 2020
Haskell

GustikS / NeuraLogic

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Deep relational learning through differentiable logic programming.

machine-learning deep-learning logic-programming relational-learning differentiable-programming

Updated Jul 14, 2020
Java

ZigaSajovic / Operational-Calculus-for-Differentiable-Programming

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Repository for the paper Operational Calculus for Differentiable Programming

automatic-differentiation differentiable-programming neural-computation operational-calculus

Updated Oct 30, 2018
TeX

infergo-ml / infergo

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mirror of Infergo repository

go golang machine-learning automatic-differentiation inference artificial-intelligence algorithmic-differentiation differentiable-programming progabilistic-programming

Updated Jun 20, 2020
Go

Lokad / Adrien

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Auto-differential framework for .NET

machine-learning deep-learning differentiable-programming

Updated Dec 20, 2018
C#

alexjc / pytrain

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🚃 Automated task/test framework for writing differentiable software.

python deep-learning pytorch differentiable-programming

Updated Oct 31, 2019
Python

belkakari / cellular-automata-pytorch

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A reproduction and tweaking of Growing Neural Cellular Automata

deep-learning cellular-automata pytorch differentiable-programming

Updated Feb 27, 2020
Python

gszep / FluxContinuation

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learning state-space targets in dynamical systems

machine-learning continuation state-space dynamical-systems kernel-density-estimation differentiable-programming pseudo-arclength-continuation

Updated Jul 20, 2020
Mathematica

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