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Top 23 gradient-descent Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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neural-network-from-scratch
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
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Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
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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
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IntroDLPython
This repository is updated by a number of introductory projects to deep learning with Python.
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DFTQuantumDot
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
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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.
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curves-intersection-with-gradient-descent
Plotting points that lie on the intersection of the given curves using gradient descent.
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Machine-Learning
A repository of my ML projects for Machine Learning course (SC349) at Northwestern University (by YaelBenShalom)
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GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
is used to capture the power of a fully-trained deep net of infinite width.
https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents
> It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.
https://arxiv.org/abs/1711.00165
And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.
https://stats.stackexchange.com/questions/238635/kernel-meth...
Project mention: Examine individual neurons of a small neural network in the browser | news.ycombinator.com | 2023-05-10
Project mention: [P] Let's Debug Your Neural Network: Gradient-based Symbolic Execution for NN | /r/MachineLearning | 2023-12-04I have developed Gymbo, a proof of concept for a Gradient-based Symbolic Execution Engine implemented from scratch.
Project mention: Yagrad – 100 SLOC autograd engine with complex numbers and fixed DAG | news.ycombinator.com | 2024-03-17
In this one I used VTK to plot 3D data: https://github.com/aromanro/DFTQuantumDot
Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h
Another experiment with ChatGPT was using it to generate subroutines for numerical optimization: https://github.com/Beliavsky/Optimization-Codes-by-ChatGPT .
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
gradient-descent related posts
- [P] Let's Debug Your Neural Network: Gradient-based Symbolic Execution for NN
- Fortran tutorial using ChatGPT
- Examine individual neurons of a small neural network in the browser
- Language models can explain neurons in language models
- Machine learning modules for swift
- Should I use accelerate or another library for simple, np.sum-like, matrix operations?
- C++ neural network low level engine
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source gradient-descent projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Gorgonia | 5,333 |
| 2 | neural-tangents | 2,219 |
| 3 | NeuralNetwork.NET | 536 |
| 4 | kotlingrad | 508 |
| 5 | DiffMorph | 446 |
| 6 | backprop | 177 |
| 7 | RayTracer.jl | 144 |
| 8 | neural-network-from-scratch | 114 |
| 9 | Sentiment | 100 |
| 10 | DL4S | 100 |
| 11 | ML-Optimizers-JAX | 40 |
| 12 | Gymbo | 34 |
| 13 | IntroDLPython | 31 |
| 14 | gone | 30 |
| 15 | yagrad | 25 |
| 16 | DFTQuantumDot | 22 |
| 17 | MachineLearning | 17 |
| 18 | NerOne | 9 |
| 19 | Optimization-Codes-by-ChatGPT | 5 |
| 20 | curves-intersection-with-gradient-descent | 3 |
| 21 | Intro-to-Linear-Regression-and-Gradient-Descent | 3 |
| 22 | MLConceptsStudy | 2 |
| 23 | Machine-Learning | 0 |
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