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The Top 381 Gradient Descent Open Source Projects on Github
Categories
>
Machine Learning
>
Gradient Descent
Gorgonia
⭐
4,222
Gorgonia is a library that helps facilitate machine learning in Go.
Neural Tangents
⭐
1,568
Fast and Easy Infinite Neural Networks in Python
Cppnumericalsolvers
⭐
690
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
Kotlingrad
⭐
437
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
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
Optim
⭐
354
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Ai Simplest Network
⭐
317
The simplest form of an artificial neural network explained and demonstrated.
Thesemicolon
⭐
312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Diffmorph
⭐
284
Image morphing without reference points by applying warp maps and optimizing over them.
Neural Network From Scratch
⭐
267
Implementing Multiple Layer Neural Network from Scratch
Deep Learning From Scratch
⭐
250
Six snippets of code that made deep learning what it is today.
Pytorch Meta Optimizer
⭐
247
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
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)
Machine_learning_and_deep_learning
⭐
219
Mlbasic
⭐
183
深度学习常用优化方法详解
Ml Course
⭐
159
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Backprop
⭐
150
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Machine_learning_2018
⭐
146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Far Ho
⭐
133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Nmflibrary
⭐
130
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
Raytracer.jl
⭐
121
Differentiable RayTracing in Julia
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
Deep Learning Coursera
⭐
102
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
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.
Regression
⭐
85
Multiple Regression Package for PHP
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!
Machinelearninglab
⭐
80
Some experiments about Machine Learning
Flatiron School Data Science Curriculum Resources
⭐
75
Lesson material on data science and machine learning topics/concepts
Physical Gradient Descent
⭐
70
Code for https://fosterelli.co/executing-gradient-descent-on-the-earth
Linear Regression Gradient Descent
⭐
66
⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
Dl4s
⭐
60
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Simple Machine Learning Demo
⭐
60
simple machine learning demo
Machine Learning In Python Workshop
⭐
54
My workshop on machine learning using python language to implement different algorithms
Image Classifier
⭐
53
Final Project of the Udacity AI Programming with Python Nanodegree
Sgd
⭐
53
An R package for large scale estimation with stochastic gradient descent
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.
Machine_learning_course
⭐
44
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
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.)
Linear Regression
⭐
33
Linear regression implemented in Ruby.
Text Analysis
⭐
32
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Housing
⭐
31
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Gmm
⭐
30
Variational Inference in Gaussian Mixture Model
Cifar
⭐
30
CIFAR 10 image dataset
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.)
Learned Turbo Type Affine Rank Minimization
⭐
28
Code for Learned Turbo-ype Affine Rank Minimization
Stem
⭐
28
Swift Tensor Extensions for Machine-learning
Gdlibrary
⭐
27
Matlab library for gradient descent algorithms: Version 1.0.1
Sopt
⭐
26
sopt:A simple python optimization library
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
Visualizing_momentum
⭐
23
Visualizing Gradient Descent with Momentum in Python
Ml Optimizers Jax
⭐
23
Toy implementations of some popular ML optimizers using Python/JAX
Protograd.jl
⭐
22
Deep learning 99% fat free
Fmin_adam
⭐
21
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
Minimalistic Multiple Layer Neural Network From Scratch In Python
⭐
21
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Sparsegdlibrary
⭐
21
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Descent
⭐
20
First-order optimization tools
Pydata London 2018
⭐
20
Slides and notebooks for my tutorial at PyData London 2018
Least Squares Cpp
⭐
20
A single header-only C++ library for least squares fitting.
Models By Example
⭐
19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Learning To Learn By Pytorch
⭐
18
A simple re-implementation for "Learning to learn by gradient descent by gradient descent "by PyTorch
Neural Holography
⭐
18
Code and data for Neural Holography
Simple Linear Regression Notebook
⭐
17
Simple demo of linear regression built with numpy in a jupyter notebook.
Gone
⭐
17
🧠 A neural network library in Go from scratch.
Cs224n Nlp With Deep Learning
⭐
17
This repo contains my solution to the Stanford course "NLP with Deep Learning" under CS224n code. Here, you can find the solution for all classes starting form 2018
Ml Mcu
⭐
16
Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Ml_from_scratch
⭐
16
Implementation of basic ML algorithms from scratch in python...
Deeplearningbasics
⭐
15
深度学习数学、模型结构和基础应用
Rl_sutton Barto_solutions
⭐
15
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
Interactive Simple Linear Regression
⭐
14
A PureScript, browser-based implementation of simple linear regression.
Multivariate Linear Regression Gradient Descent Javascript
⭐
13
⭐️ Multivariate Linear Regression with Gradient Descent in JavaScript (Vectorized)
Le
⭐
13
Machine Learning Framework
Ml
⭐
12
Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.
Dftquantumdot
⭐
12
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
Neural Networks Py
⭐
12
Core neural networks framework supporting to build multilayer perceptron
Fun Python
⭐
11
Some scripts i had fun creating, to learn the basics of python
Intro_to_dl_tutorial
⭐
11
Material for introduction to Deep Learning Tutorials, Summer '20, '21
Porthamiltoniannn
⭐
11
Port-Hamiltonian Approach to Neural Network Training
Sgd From Scratch
⭐
11
Stochastic gradient descent from scratch for linear regression
Nim Rmad
⭐
10
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
Adax
⭐
10
AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
Ml Notebook
⭐
10
Karma of Humans is AI
Machine Learning Research Papers
⭐
10
Collection of machine learning research paper references
Deepneuralnetwork
⭐
10
Deep neural network implemented in Java from scratch, without using library/framework.
Self Driving Robot Using Neural Network
⭐
9
This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.
Numopt3
⭐
9
Numerical optimization library in C++.
Univariate Linear Regression Gradient Descent Javascript
⭐
9
⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)
Computer Vision And Image Processing
⭐
9
Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄
Movie Recommendation
⭐
9
Pyed
⭐
8
Computes trajectories for evolutionary dynamics.
Gradientdescent_implementation
⭐
8
Implement different variants of gradient descent in python using numpy
Linearsvmclassification
⭐
8
Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)
Digit Recognizer
⭐
8
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Mindseye
⭐
8
Neural Networks in Java 8 with CuDNN and Aparapi
D3 Gradient Descent
⭐
8
D3.js | Visualization of the gradient descent algorithm for linear regression
Artificial Neural Networks
⭐
8
simple neural network using sigmoid function
Minimind
⭐
8
A Minimalist Machine Learning Library written in Swift
Graddescent
⭐
8
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
Machine_learning
⭐
7
Machine Learning - Coursera.org
Introdlpython
⭐
7
This repository is updated by a number of introductory projects to deep learning with Python.
Jdl
⭐
7
Java Deep Learning Library
1-100 of 381 projects
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Computer Science
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Data Processing
📦 266
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📦 132
Economics
📦 60
Frameworks
📦 198
Games
📦 122
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📦 103
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📦 148
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📦 47
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📦 147
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📦 28
Libraries
📦 119
Lists Of Projects
📦 21
Machine Learning
📦 336
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📦 61
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📦 15
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📦 55
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📦 228
Messaging
📦 97
Networking
📦 304
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📦 84
Operations
📦 120
Package Managers
📦 52
Programming Languages
📦 229
Runtime Environments
📦 96
Science
📦 42
Security
📦 375
Social Media
📦 26
Software Architecture
📦 70
Software Development
📦 68
Software Performance
📦 57
Software Quality
📦 127
Text Editors
📦 45
Text Processing
📦 131
User Interface
📦 310
User Interface Components
📦 465
Version Control
📦 29
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📦 68
Web Browsers
📦 38
Web Servers
📦 25
Web User Interface
📦 194
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