Topic: autodifferentiation Goto Github
Some thing interesting about autodifferentiation
Some thing interesting about autodifferentiation
autodifferentiation,Yaae: Yet another autodiff engine (written in Numpy).
User: 3outeille
Home Page: https://hackmd.io/@machine-learning/blog-post-yaae
autodifferentiation,[wip] Lightweight Automatic Differentiation & DeepLearning Framework implemented in pure Julia.
User: abap34
autodifferentiation,Autodifferentiation engine forked from Ceres-Solver
User: ahmadyan
autodifferentiation,toydl: toy deep learning algorithms implementation, backend with self implement toy torch
Organization: ai-glimpse
Home Page: http://ai-glimpse.github.io/toydl/
autodifferentiation,Simple neural network and automatic differentiation implementation
User: amiannn
Home Page: https://amiannn.github.io/demo/Neural-Network/
autodifferentiation,automatic differentiation made easier for C++
Organization: autodiff
Home Page: https://autodiff.github.io
autodifferentiation,A minimalist neural networks library built on a tiny autograd engine
User: bpesquet
autodifferentiation,F-1 method
User: briochemc
autodifferentiation,Multi layer perceptron implementation from scratch using only numpy
User: ceenaa
autodifferentiation,C++20 numerical and analytical derivative computations
Organization: codereckons
autodifferentiation,Deep learning in Rust, with shape checked tensors and neural networks
User: coreylowman
autodifferentiation,zapnAD: An auto-differentiation package.
Organization: cs107-zapn
autodifferentiation,A toy forward-mode autodiff utility written in Python
User: domcorvasce
autodifferentiation,micrograd (smol autodiff lib by @karpathy) ported into Haskell and Swift
User: dvdblk
autodifferentiation,A differentiable underwater vehicle dynamics in body and ned(euler & quaternion).
User: edxmorgan
autodifferentiation,🚢 Portable development environment for Enzyme
Organization: enzymead
autodifferentiation,Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
User: eshaancoding
autodifferentiation,Experiments with forward gradients on optimization test functions
User: gbelouze
autodifferentiation,A Micrograd inspired (and largely copied) small autodiff engine.
User: gden173
autodifferentiation,Realization of models from existing papers
User: hamletwanttocode
autodifferentiation,Simple implementation of reverse-mode automatic differentiation on numpy arrays
User: howuhh
autodifferentiation,yacc lex for reversed automatic differentiation
User: isaacveg
autodifferentiation,A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation
User: jacopotagliabue
autodifferentiation,Dualitic is a Python package for forward mode automatic differentiation using dual numbers.
User: jaimeliew1
autodifferentiation,FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
User: jamesyang007
autodifferentiation,Testing capabilities of Trilinos-Sacado in combination with e. g. tensors
User: jfriedlein
autodifferentiation,Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Organization: lmfit
Home Page: http://uncertainties.readthedocs.io/
autodifferentiation,c++ header-only library for scientific programming.
User: lorenzoliuzzo
Home Page: https://lorenzoliuzzo.github.io/scipp/
autodifferentiation,Lightweight automatic differentiation and error propagation library
User: marcromani
autodifferentiation,Tensors and dynamic neural networks in pure Rust.
Organization: neuronika
Home Page: https://docs.rs/neuronika
autodifferentiation,Forward mode automatic differentiation for Fortran
User: nicholaswogan
autodifferentiation,My implementation of Andrej Kaparthy's Micrograd library for back propagation and simple neural net training
User: nickyguants
autodifferentiation,Reversed mode second order automatic differentiation for python (WIP)
User: oberbichler
autodifferentiation,Algorithmic differentiation with hyper-dual numbers in C++ and Python
User: oberbichler
autodifferentiation,Differentiate python calls from Julia
User: rejuvyesh
autodifferentiation,A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
User: renovamen
Home Page: http://flint.vercel.app
autodifferentiation,A tiny autograd library made for educational purposes.
User: rillki
autodifferentiation,Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
User: rixsilverith
autodifferentiation,Drop-in autodiff for NumPy.
User: rsokl
Home Page: https://mygrad.readthedocs.io
autodifferentiation,Chemical Explosive Mode Analysis for computational/experimental combustion diagnostics using Julia SciML features
User: rsuryanarayan
autodifferentiation,Scala embedded universal probabilistic programming language
Organization: scala-infer
Home Page: https://scala-infer.github.io
autodifferentiation,A simple library for building computational graphs with autodiff support.
User: shubhamjha97
autodifferentiation,A simple and highly extensible Computational graph library written in C++ with the support of auto diff.
User: sokmontrey
autodifferentiation,Assignments for Data Intensive Systems for Machine Learning Coursework
User: sreenivasanramesh
autodifferentiation,Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.
User: theolepage
autodifferentiation,200行写一个自动微分工具
User: tiandiweizun
autodifferentiation,Rust port of Karpathy's micrograd & associated stuff.
User: unrenormalizable
autodifferentiation,Yet another tensor automatic differentiation framework
User: xylambda
autodifferentiation,Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
User: yizhang-yiz
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