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Top 18 gradientdescent OpenSource Projects

Website: https://gorgonia.org

Project mention: [R] Training Machine Learning Models More Efficiently with Dataset Distillation  reddit.com/r/MachineLearning  20211215
Code for https://arxiv.org/abs/2011.00050 found: https://github.com/google/neuraltangents

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Project mention: TradeOffs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia  news.ycombinator.com  20211225
and that there is a mature library for autodiff https://github.com/breandan/kotlingrad

NeuralNetwork.NET
A TensorFlowinspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
https://github.com/Sergio0694/NeuralNetwork.NET for example.

610 frames per second should be enough for a smooth animation as long as you use an interpolation or morphing technique, for morph someone recommend me DiffMorph and for interpolation i like Flowframes , these are by no means your only options but simply what i like

Project mention: What are some ways I could tickle my (beginner) haskellbrain with something *useful*?  reddit.com/r/haskell  20211204

Project mention: what’s a simple example of a “software 2.0”type of differentiable program ?  reddit.com/r/Julia  20211018
First thing I thought of was https://github.com/avikpal/RayTracer.jl

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neuralnetworkfromscratch
A neural network library written from scratch in Rust along with a webbased application for building + training neural networks + visualizing their outputs
Project mention: Browserbased neural network sandbox built with Rust + WebAssembly  reddit.com/r/rust  20220402Full source code is on Github: https://github.com/ameobea/neuralnetworkfromscratch

DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift  from watchOS to Linux
Project mention: Should I use accelerate or another library for simple, np.sumlike, matrix operations?  reddit.com/r/swift  20220504Shameless plug: If you're looking for a more user friendly method for accelerated operations on vectors, matrices and tensors: I built Deep Learning for Swift a while ago, which implements a lot of numpy functions. It's primarily made for deep learning but you can also do number crunching with it.

Sentiment
An example project using a feedforward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.



IntroDLPython
This repository is updated by a number of introductory projects to deep learning with Python.

DFTQuantumDot
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
Project mention: What language is best for a chemistry simulator?  reddit.com/r/AskProgramming  20220829A density functional theory project that could be extended to use nonlocal pseudopotentials to compute a molecule: https://github.com/aromanro/DFTQuantumDot (there is an example in there on how to compute a molecule but without pseudo potentials, so it works only on simple ones like H2 or so, for an example with a pseudopotential  but a simple local one  check out the python repository).

NerOne
Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.
Hello everybody! I want to share one thing I worked on for the last 2 months. https://github.com/Immortaledev/NerOne

Project mention: Gradient Descent for Linear Regression not fitting correctly  reddit.com/r/learnmachinelearning  20220114
taken from: SOURCE

curvesintersectionwithgradientdescent
Plotting points that lie on the intersection of the given curves using gradient descent.


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gradientdescent related posts
 Should I use accelerate or another library for simple, np.sumlike, matrix operations?
 C++ neural network low level engine
 Graph plotting as an optimisation problem
 I learnt how to plot graph of equations and their intersection using gradient descent
 Learnt how to plot graph of equations and their intersection using gradient descent
 Learnt how to plot graph of equations and their intersections using gradient descent
 Learnt how to plot equations and their intersection using Gradient descent

A note from our sponsor  InfluxDB
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Index
What are some of the best opensource gradientdescent projects? This list will help you:
Project  Stars  

1  Gorgonia  4,659 
2  neuraltangents  1,849 
3  kotlingrad  477 
4  NeuralNetwork.NET  460 
5  DiffMorph  354 
6  backprop  168 
7  RayTracer.jl  135 
8  neuralnetworkfromscratch  86 
9  DL4S  80 
10  Sentiment  66 
11  MLOptimizersJAX  38 
12  gone  22 
13  IntroDLPython  19 
14  DFTQuantumDot  16 
15  NerOne  8 
16  IntrotoLinearRegressionandGradientDescent  4 
17  curvesintersectionwithgradientdescent  2 
18  MLConceptsStudy  1 
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