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The Top 720 Gradient Descent Open Source Projects

Categories > Machine Learning > Gradient Descent
Gorgonia ⭐ 4,483
Gorgonia is a library that helps facilitate machine learning in Go.
dependent packages 15total releases 52most recent commit a month ago
Tensorflow Tutorial ⭐ 3,873
Tensorflow tutorial from basic to hard
most recent commit 2 years ago
Neural Tangents ⭐ 1,763
Fast and Easy Infinite Neural Networks in Python
dependent packages 1total releases 25most recent commit 6 days agopypi neural-tangents} Downloads
Cppnumericalsolvers ⭐ 730
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
most recent commit 4 months ago
Optim ⭐ 527
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
most recent commit 18 days ago
Kotlingrad ⭐ 468
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
total releases 2most recent commit 8 days ago
Gradientdescentexample ⭐ 428
Example demonstrating how gradient descent may be used to solve a linear regression problem
most recent commit 3 years ago
Theano Rnn ⭐ 374
Demonstration of recurrent neural network implemented with Theano
most recent commit 5 years ago
Neuralnetwork.net ⭐ 360
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
total releases 12most recent commit 2 years ago
Ai Simplest Network ⭐ 317
The simplest form of an artificial neural network explained and demonstrated.
most recent commit 2 years ago
Diffmorph ⭐ 317
Image morphing without reference points by applying warp maps and optimizing over them.
most recent commit 3 months ago
Thesemicolon ⭐ 312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
most recent commit 4 years ago
Organization Overview ⭐ 310
👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning
most recent commit 2 years ago
Neural Network From Scratch ⭐ 267
Implementing Multiple Layer Neural Network from Scratch
most recent commit 6 years ago
Machine_learning_and_deep_learning ⭐ 265
most recent commit 13 hours ago
Stein Variational Gradient Descent ⭐ 261
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
most recent commit 3 years ago
Deep Learning From Scratch ⭐ 250
Six snippets of code that made deep learning what it is today.
most recent commit 3 years ago
Hands On Deep Learning Algorithms With Python ⭐ 241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
most recent commit 2 years ago
Coronavirus Epidemic Covid 19 ⭐ 232
👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
most recent commit 2 years ago
Sgdr ⭐ 199
most recent commit 6 years ago
Classifying_data_using_a_support_vector_machine ⭐ 196
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
most recent commit 3 years ago
Nmflibrary ⭐ 192
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
most recent commit 12 days ago
Mlbasic ⭐ 183
深度学习常用优化方法详解
most recent commit 5 years ago
Ml Course ⭐ 159
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
most recent commit a year ago
Backprop ⭐ 157
Heterogeneous automatic differentiation ("backpropagation") in Haskell
total releases 19most recent commit 6 months ago
Intro_to_the_math_of_intelligence ⭐ 153
This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube
most recent commit 3 years ago
Machine_learning_2018 ⭐ 146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
most recent commit 8 months ago
Far Ho ⭐ 133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
most recent commit 2 years ago
Raytracer.jl ⭐ 121
Differentiable RayTracing in Julia
most recent commit a year ago
Awesome Machine Learning Deep Learning Mathematics ⭐ 110
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
most recent commit 5 years ago
Distributeddeeplearningreads ⭐ 105
Papers and blogs related to distributed deep learning
most recent commit 5 years ago
Deep Learning Coursera ⭐ 102
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
most recent commit 4 years ago
30 Days Of Ml Kaggle ⭐ 93
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
most recent commit 9 months ago
Regression ⭐ 85
Multiple Regression Package for PHP
dependent packages 1total releases 16most recent commit 4 years agopackagist mcordingley/regression} Downloads
Learning To Learn ⭐ 84
TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
most recent commit 5 years ago
Machine Learning Numpy ⭐ 84
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
most recent commit 3 years ago
Machinelearninglab ⭐ 80
Some experiments about Machine Learning
most recent commit 2 years ago
Flatiron School Data Science Curriculum Resources ⭐ 75
Lesson material on data science and machine learning topics/concepts
most recent commit a year ago
Nn Scratch ⭐ 74
Coding up a Neural Network Classifier from Scratch
most recent commit 2 years ago
Physical Gradient Descent ⭐ 70
Code for https://fosterelli.co/executing-gradient-descent-o
most recent commit a year ago
Warpgrad ⭐ 67
Meta-Learning with Warped Gradient Descent
most recent commit a year ago
Implicit Variational Inference ⭐ 67
The collection of recent papers about variational inference
most recent commit 3 years ago
Linear Regression Gradient Descent ⭐ 66
⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
most recent commit 4 years ago
Dl4s ⭐ 64
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
total releases 2most recent commit 7 months ago
The_evolution_of_gradient_descent ⭐ 60
This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
most recent commit 3 years ago
Pathnet Pytorch ⭐ 60
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
most recent commit 5 years ago
Machine Learning In Python Workshop ⭐ 54
My workshop on machine learning using python language to implement different algorithms
most recent commit 2 years ago
Machine Learning ⭐ 53
In this repository, I will upload some projects I have been working on. These include building algorithms from scratch, as well as some applications of these.
most recent commit 3 years ago
Sgd ⭐ 53
An R package for large scale estimation with stochastic gradient descent
total releases 4most recent commit 3 years ago
Image Classifier ⭐ 53
Final Project of the Udacity AI Programming with Python Nanodegree
most recent commit 4 years ago
Least Squares Cpp ⭐ 50
A single header-only C++ library for least squares fitting.
most recent commit a month ago
Sentiment ⭐ 48
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
total releases 7most recent commit 10 months ago
Chemopt ⭐ 48
Optimizing Chemical Reactions with Deep Reinforcement Learning
most recent commit 3 years ago
Machine Learning Matlab ⭐ 46
Matlab implementation of Machine Learning algorithms
most recent commit 8 years ago
Collabstream ⭐ 44
Parallelized Online Matrix Factorization for Collaborative Filtering using Stochastic Gradient Descent
most recent commit 6 years ago
Machine_learning_course ⭐ 44
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
most recent commit 2 years ago
Bvs ⭐ 43
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)
most recent commit 2 years ago
Stochastic_gradient_descent ⭐ 42
An IPython notebook showing the basics of implementing gradient descent and stochastic gradient descent in Python
most recent commit 3 years ago
Jensen ⭐ 39
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
most recent commit 3 months ago
Neural Network From Scratch ⭐ 38
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
most recent commit 2 months ago
Pytorch Radial Basis Function Layer ⭐ 37
An implementation of an RBF layer/module using PyTorch.
most recent commit a year ago
Backpropagation_explained ⭐ 37
This is the code for "Backpropagation Explained" By Siraj Raval on Youtube
most recent commit 4 years ago
Housing ⭐ 34
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
most recent commit a month ago
Linear Regression ⭐ 33
Linear regression implemented in Ruby.
most recent commit 3 years ago
Text Analysis ⭐ 32
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
most recent commit 5 years ago
Autoopt ⭐ 32
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
most recent commit 2 years ago
Jensen ⭐ 30
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
most recent commit 4 years ago
Gmm ⭐ 30
Variational Inference in Gaussian Mixture Model
most recent commit 2 years ago
Cifar ⭐ 30
CIFAR 10 image dataset
most recent commit 3 years ago
Stem ⭐ 28
Swift Tensor Extensions for Machine-learning
most recent commit 5 years ago
Learned Turbo Type Affine Rank Minimization ⭐ 28
Code for Learned Turbo-ype Affine Rank Minimization
most recent commit 2 years ago
Deep Rl Agents ⭐ 28
most recent commit 3 years ago
S_gd2 ⭐ 27
Stress-based Graph Drawing by Stochastic Gradient Descent
most recent commit a year ago
Sgdoptim.jl ⭐ 27
A julia package for Gradient Descent and Stochastic Gradient Descent
most recent commit 5 years ago
Gdlibrary ⭐ 27
Matlab library for gradient descent algorithms: Version 1.0.1
most recent commit 4 years ago
Sopt ⭐ 26
sopt:A simple python optimization library
most recent commit 4 years ago
Ntk ⭐ 26
NTK reading group
most recent commit 3 years ago
Dpml Benchmark ⭐ 26
This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
most recent commit 4 years ago
Machine Learning Regression ⭐ 25
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
most recent commit 4 years ago
Learning Rate ⭐ 25
Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras
most recent commit 4 years ago
Visualizing_momentum ⭐ 23
Visualizing Gradient Descent with Momentum in Python
most recent commit 4 years ago
Mt Net ⭐ 23
Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
most recent commit 3 years ago
Ml Optimizers Jax ⭐ 23
Toy implementations of some popular ML optimizers using Python/JAX
most recent commit a year ago
Neural_tangent_kernel ⭐ 22
most recent commit 3 years ago
Svmsgd ⭐ 21
Stochastic Gradient Descent SVM classifier
most recent commit 6 years ago
Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21
Minimalistic Multiple Layer Neural Network from Scratch in Python.
most recent commit 4 years ago
Sparsegdlibrary ⭐ 21
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
most recent commit 4 years ago
Fmin_adam ⭐ 21
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
most recent commit 5 years ago
Zipml Xeonfpga ⭐ 21
FPGA-based stochastic gradient descent (powered by ZipML - Low-precision machine learning on reconfigurable hardware)
most recent commit 2 years ago
Mpiplatform ⭐ 20
A platform for distributed optimization expriments using OpenMPI
most recent commit 5 years ago
Dagbldr ⭐ 20
A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano
most recent commit 6 years ago
Pydata London 2018 ⭐ 20
Slides and notebooks for my tutorial at PyData London 2018
most recent commit 4 years ago
Descent ⭐ 20
First-order optimization tools
most recent commit 5 years ago
Ml Notebook ⭐ 19
Karma of Humans is AI
most recent commit 2 years ago
Miniflow ⭐ 19
Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent
most recent commit 5 years ago
Minineuralnets ⭐ 19
A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.
most recent commit 2 years ago
Models By Example ⭐ 19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
most recent commit a year ago
Adaptive_gd ⭐ 19
Adaptive gradient descent without descent
most recent commit 7 months ago
D Psgd ⭐ 19
Algorithm: Decentralized Parallel Stochastic Gradient Descent
most recent commit 4 years ago
Neural Holography ⭐ 18
Code and data for Neural Holography
most recent commit a year ago
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