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Top 18 gradient-descent Open-Source Projects
Gorgonia is a library that helps facilitate machine learning in Go.Project mention: Most Popular GoLang Frameworks | dev.to | 2022-09-20
Fast and Easy Infinite Neural Networks in PythonProject mention: [R] Training Machine Learning Models More Efficiently with Dataset Distillation | reddit.com/r/MachineLearning | 2021-12-15
Code for https://arxiv.org/abs/2011.00050 found: https://github.com/google/neural-tangents
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🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNNProject mention: Neural networks in C#/Unity | reddit.com/r/csharp | 2022-01-13
https://github.com/Sergio0694/NeuralNetwork.NET for example.
Image morphing without reference points by applying warp maps and optimizing over them.Project mention: Getting Started With Animation | reddit.com/r/StableDiffusion | 2022-09-12
6-10 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
Heterogeneous automatic differentiation ("backpropagation") in HaskellProject mention: What are some ways I could tickle my (beginner) haskell-brain with something *useful*? | reddit.com/r/haskell | 2021-12-04
Differentiable RayTracing in JuliaProject mention: what’s a simple example of a “software 2.0”-type of differentiable program ? | reddit.com/r/Julia | 2021-10-18
First thing I thought of was https://github.com/avik-pal/RayTracer.jl
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A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputsProject mention: Browser-based neural network sandbox built with Rust + WebAssembly | reddit.com/r/rust | 2022-04-02
Full source code is on Github: https://github.com/ameobea/neural-network-from-scratch
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to LinuxProject mention: Should I use accelerate or another library for simple, np.sum-like, matrix operations? | reddit.com/r/swift | 2022-05-04
Shameless 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.
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Toy implementations of some popular ML optimizers using Python/JAX
🧠 A neural network library in Go from scratch.
This repository is updated by a number of introductory projects to deep learning with Python.
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTKProject mention: What language is best for a chemistry simulator? | reddit.com/r/AskProgramming | 2022-08-29
A density functional theory project that could be extended to use non-local 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 pseudo-potential - but a simple local one - check out the python repository).
Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.Project mention: C++ neural network low level engine | reddit.com/r/cpp | 2022-04-19
Hello everybody! I want to share one thing I worked on for the last 2 months. https://github.com/Immortale-dev/NerOne
My summary for "Gradient Descent"Project mention: Gradient Descent for Linear Regression not fitting correctly | reddit.com/r/learnmachinelearning | 2022-01-14
taken from: SOURCE
Plotting points that lie on the intersection of the given curves using gradient descent.Project mention: Graph plotting as an optimisation problem | reddit.com/r/optimization | 2022-01-04
This repository contains implementation of some Machine Learning concepts
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gradient-descent related posts
Should I use accelerate or another library for simple, np.sum-like, matrix operations?
1 project | reddit.com/r/swift | 4 May 2022
C++ neural network low level engine
2 projects | reddit.com/r/cpp | 19 Apr 2022
Graph plotting as an optimisation problem
1 project | reddit.com/r/optimization | 4 Jan 2022
I learnt how to plot graph of equations and their intersection using gradient descent
1 project | reddit.com/r/graphs | 4 Jan 2022
- 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
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www.influxdata.com | 6 Oct 2022
What are some of the best open-source gradient-descent projects? This list will help you:
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