Open-source projects categorized as gradient-descent Edit details

Top 18 gradient-descent Open-Source Projects

  • Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go.

    Project mention: Most Popular GoLang Frameworks | | 2022-09-20


  • neural-tangents

    Fast and Easy Infinite Neural Networks in Python

    Project mention: [R] Training Machine Learning Models More Efficiently with Dataset Distillation | | 2021-12-15

    Code for found:


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  • kotlingrad

    🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

    Project mention: Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia | | 2021-12-25

    and that there is a mature library for autodiff

  • 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

    Project mention: Neural networks in C#/Unity | | 2022-01-13 for example.

  • DiffMorph

    Image morphing without reference points by applying warp maps and optimizing over them.

    Project mention: Getting Started With Animation | | 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

  • backprop

    Heterogeneous automatic differentiation ("backpropagation") in Haskell

    Project mention: What are some ways I could tickle my (beginner) haskell-brain with something *useful*? | | 2021-12-04
  • RayTracer.jl

    Differentiable RayTracing in Julia

    Project mention: what’s a simple example of a “software 2.0”-type of differentiable program ? | | 2021-10-18

    First thing I thought of was

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • 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

    Project mention: Browser-based neural network sandbox built with Rust + WebAssembly | | 2022-04-02

    Full source code is on Github:

  • 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.sum-like, matrix operations? | | 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.

  • Sentiment

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

  • ML-Optimizers-JAX

    Toy implementations of some popular ML optimizers using Python/JAX

  • gone

    🧠 A neural network library in Go from scratch.

  • 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? | | 2022-08-29

    A density functional theory project that could be extended to use non-local pseudopotentials to compute a molecule: (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).

  • 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.

    Project mention: C++ neural network low level engine | | 2022-04-19

    Hello everybody! I want to share one thing I worked on for the last 2 months.

  • Intro-to-Linear-Regression-and-Gradient-Descent

    My summary for "Gradient Descent"

    Project mention: Gradient Descent for Linear Regression not fitting correctly | | 2022-01-14

    taken from: SOURCE

  • curves-intersection-with-gradient-descent

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

    Project mention: Graph plotting as an optimisation problem | | 2022-01-04
  • MLConceptsStudy

    This repository contains implementation of some Machine Learning concepts

  • SonarLint

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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). The latest post mention was on 2022-09-20.

gradient-descent related posts


What are some of the best open-source gradient-descent projects? This list will help you:

Project Stars
1 Gorgonia 4,659
2 neural-tangents 1,849
3 kotlingrad 477
4 NeuralNetwork.NET 460
5 DiffMorph 354
6 backprop 168
7 RayTracer.jl 135
8 neural-network-from-scratch 86
9 DL4S 80
10 Sentiment 66
11 ML-Optimizers-JAX 38
12 gone 22
13 IntroDLPython 19
14 DFTQuantumDot 16
15 NerOne 8
16 Intro-to-Linear-Regression-and-Gradient-Descent 4
17 curves-intersection-with-gradient-descent 2
18 MLConceptsStudy 1
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