Topic: auto-differentiation Goto Github
Some thing interesting about auto-differentiation
Some thing interesting about auto-differentiation
auto-differentiation,skscope: Sparse-Constrained OPtimization via itErative-solvers
Organization: abess-team
Home Page: https://skscope.readthedocs.io
auto-differentiation,Lagrangian mechanics implemented 3 ways: manually, with auto-diff, and symbolically.
User: adamheins
Home Page: https://adamheins.com/blog/lagrangian-mechanics-three-ways
auto-differentiation,
User: airchen
auto-differentiation,ะกustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
User: akirusprod
auto-differentiation,C++20 machine learning library with no external dependencies (nanorange used temporarily for C++20 ranges)
User: alexnask
auto-differentiation,Differentiable Gaussian Process implementation for PyTorch
User: anassinator
auto-differentiation,Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
User: anassinator
auto-differentiation,Neural Network library made with numpy
User: ashwins-code
auto-differentiation,automatic differentiation made easier for C++
Organization: autodiff
Home Page: https://autodiff.github.io
auto-differentiation,simple C++ auto-differentiation library
User: btsan
auto-differentiation,Automatic derivative calculation of scalar functions.
User: byx2000
auto-differentiation,Computational graphs with reverse automatic differentation in the GPU
User: c0dearm
auto-differentiation,Library for auto differentiation based purely on NumPy
User: chao-ji
auto-differentiation,[ ggml: Tensor library for machine learning ] written in zig.
User: codingonion
auto-differentiation,Differentiable Reacting Flow Modeling Software
Organization: deng-mit
Home Page: https://deng-mit.github.io/Arrhenius.jl/dev/
auto-differentiation,Enzyme integration into Rust. Experimental, do not use.
Organization: enzymead
auto-differentiation,Define-by-run arbitrary higher order autodiff for scalars in Rust. Deferred: tensor calculus implementation.
User: exbibyte
auto-differentiation,A framework for more flexible structure of neural networks with auto-differentiation.
User: guoquan
auto-differentiation,Auto-differentiable methods for Cosmology
User: jaimerzp
auto-differentiation,FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
User: jamesyang007
auto-differentiation,MicrogradPlus is an educational project aiming to provide a simple, yet extensible, NumPy-based automatic differentiation library.
User: johnnykoch02
auto-differentiation,๐ A C++ code generator for the automatic derivation of tensors with linear indexes. Implementation for the lesson Compiling Technology(2020 Spring, advised by Yun Liang) in Peking University.
User: magic3007
auto-differentiation,๋์ ๋จธ์ ๋ฌ๋ยท๋ฅ๋ฌ๋์ ํ์ํ ๊ธฐ์ด ์ํ with ํ์ด์ฌ์ ์์ ์ฝ๋์ ๊ทธ๋ํ ๊ทธ๋ฆฌ๋ ์ฝ๋ ๋ฐ ์น์ฑ ์ ์ฅ์
User: metamath1
auto-differentiation,Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Organization: nvidia
Home Page: https://nvidia.github.io/MinkowskiEngine
auto-differentiation,Reversed mode second order automatic differentiation for python (WIP)
User: oberbichler
auto-differentiation,Algorithmic differentiation with hyper-dual numbers in C++ and Python
User: oberbichler
auto-differentiation,This repository contains code corresponding to my blogging site.
User: raakash
Home Page: https://deepneuralnet.wordpress.com/
auto-differentiation,This repository is an attempt to create a deep learning framework to aid in faster learning process for newbies in the deep learning field.
User: raakash
auto-differentiation,Differentiable tensor renormalization group
User: realbunbun
auto-differentiation,A fast auto differentiation engine implemented in C++ ๐ฅ
User: rod-rom
auto-differentiation,Auto-differentiation library for C++
User: sharan-dce
auto-differentiation,JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy
Organization: slimgroup
Home Page: https://doi.org/10.5281/zenodo.10884409
auto-differentiation,Calculates partial derivatives of an input function.
User: sud295
auto-differentiation,variational quantum circuit simulator in Julia, under GPLv3
User: supremacyfuture
auto-differentiation,
Organization: tensorbfs
auto-differentiation,Tiny calculation graph library
User: termoshtt
auto-differentiation,AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
User: thtrieu
auto-differentiation,A WIP library for performing multi-root searching of one-dimensional transcendental equations using auto-differentiation in Rust
User: tsmith023
auto-differentiation,autoD is a lightweight, flexible automatic differentiation for python3 based on numpy.
User: weixuanchan
auto-differentiation,MetaAutoDiff is a C++ template library for automatic differentiation in reverse mode.
User: yujizhu
auto-differentiation,MinimalGrad is an open-source automatic differentiation library for deep learning that is designed to be lightweight and efficient, with a focus on simplicity and ease of use. It was developed by a team of students at Eรถtvรถs Lorรกnd University as part of Advanced software technology class.
User: zaksalmi
auto-differentiation,Fortran backward (reverse) mode automatic differentiation.
User: zoziha
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