An open API service providing repository metadata for many open source software ecosystems.

Topic: "gradient-descent"

gorgonia/gorgonia

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

Language: Go - Size: 88.7 MB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 5,731 - Forks: 442

google/neural-tangents

Fast and Easy Infinite Neural Networks in Python

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 2,332 - Forks: 229

kthohr/optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Language: C++ - Size: 11.7 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 847 - Forks: 139

Sergio0694/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

Language: C# - Size: 13.1 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 556 - Forks: 88

breandan/kotlingrad

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

Language: Kotlin - Size: 288 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 534 - Forks: 21

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 511 - Forks: 231

volotat/DiffMorph

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

Language: Python - Size: 84.2 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 454 - Forks: 52

gokadin/ai-simplest-network

The simplest form of an artificial neural network explained and demonstrated.

Language: Go - Size: 259 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 399 - Forks: 30

shreyans29/thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Language: Jupyter Notebook - Size: 680 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 384 - Forks: 437

cvanaret/Uno

A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization

Language: C++ - Size: 44.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 328 - Forks: 26

gy910210/neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

Language: Python - Size: 244 KB - Last synced at: 8 days ago - Pushed at: about 9 years ago - Stars: 319 - Forks: 91

ikostrikov/pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 313 - Forks: 53

Suji04/ML_from_Scratch

Implementation of basic ML algorithms from scratch in python...

Language: Jupyter Notebook - Size: 540 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 293 - Forks: 229

tsycnh/mlbasic

深度学习常用优化方法详解

Language: Python - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 268 - Forks: 104

hiroyuki-kasai/NMFLibrary

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Language: MATLAB - Size: 121 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 265 - Forks: 95

emilwallner/Deep-Learning-From-Scratch

Six snippets of code that made deep learning what it is today.

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 2 days ago - Pushed at: over 5 years ago - Stars: 261 - Forks: 57

YiranJing/Coronavirus-Epidemic-COVID-19

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Language: Jupyter Notebook - Size: 45 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 243 - Forks: 69

krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Size: 6.84 KB - Last synced at: 9 days ago - Pushed at: over 7 years ago - Stars: 215 - Forks: 62

zeke-xie/deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

Size: 184 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 210 - Forks: 20

snrazavi/Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 193 - Forks: 103

mstksg/backprop

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Language: Haskell - Size: 11.1 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 187 - Forks: 22

lucfra/FAR-HO

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Language: Jupyter Notebook - Size: 505 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 187 - Forks: 47

quocviethere/Coursera-Machine-Learning-Specialization

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Language: Jupyter Notebook - Size: 6.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 183 - Forks: 139

faridcher/ml-course

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Language: R - Size: 36.5 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 168 - Forks: 150

rojaAchary/30-Days-of-ML-Kaggle

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.

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 168 - Forks: 58

avik-pal/RayTracer.jl

Differentiable RayTracing in Julia

Language: Julia - Size: 34.9 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 152 - Forks: 12

MrGeislinger/flatiron-school-data-science-curriculum-resources

Lesson material on data science and machine learning topics/concepts

Language: Jupyter Notebook - Size: 44.5 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 148 - Forks: 142

computational-imaging/neural-holography

Code and data for Neural Holography

Language: Python - Size: 1.83 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 137 - Forks: 44

hahnec/torchimize

numerical optimization in pytorch

Language: Python - Size: 20.4 MB - Last synced at: about 15 hours ago - Pushed at: 12 months ago - Stars: 136 - Forks: 6

fotisk07/Deep-Learning-Coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Language: Jupyter Notebook - Size: 87.4 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 136 - Forks: 56

Ameobea/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

Language: Rust - Size: 1.73 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 133 - Forks: 12

RubixML/Sentiment

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

Language: PHP - Size: 34 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 112 - Forks: 14

snrazavi/Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 111 - Forks: 63

palle-k/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

Language: Swift - Size: 19.5 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 107 - Forks: 13

llhthinker/MachineLearningLab

Some experiments about Machine Learning

Language: Python - Size: 74.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 107 - Forks: 193

huseinzol05/Machine-Learning-Numpy 📦

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 104 - Forks: 63

s-marton/GRANDE

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

Language: Jupyter Notebook - Size: 9.74 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 89 - Forks: 9

mcordingley/Regression

Multiple Regression Package for PHP

Language: PHP - Size: 438 KB - Last synced at: 2 days ago - Pushed at: over 6 years ago - Stars: 88 - Forks: 16

Rookfighter/least-squares-cpp

A single header-only C++ library for least squares fitting.

Language: C++ - Size: 666 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 86 - Forks: 13

fotisk07/Image-Classifier

Final Project of the Udacity AI Programming with Python Nanodegree

Language: Jupyter Notebook - Size: 25.7 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 71 - Forks: 46

javascript-machine-learning/linear-regression-gradient-descent

⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)

Language: JavaScript - Size: 78.1 KB - Last synced at: 2 days ago - Pushed at: over 7 years ago - Stars: 70 - Forks: 9

chrisfosterelli/physical-gradient-descent

Code for https://fosterelli.co/executing-gradient-descent-on-the-earth

Language: Python - Size: 36.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 69 - Forks: 11

m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Language: R - Size: 26.2 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 18

Lucifier129/simple-machine-learning-demo

simple machine learning demo

Language: JavaScript - Size: 25.4 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 65 - Forks: 3

airoldilab/sgd

An R package for large scale estimation with stochastic gradient descent

Language: C++ - Size: 2.03 MB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 62 - Forks: 18

bertini36/GMM

Variational Inference in Gaussian Mixture Model

Language: Python - Size: 98.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 16

hiroyuki-kasai/GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

Language: Matlab - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 56 - Forks: 25

DylanMuir/fmin_adam

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Language: Matlab - Size: 109 KB - Last synced at: 28 days ago - Pushed at: about 8 years ago - Stars: 56 - Forks: 24

pesoto/Text-Analysis

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Language: Jupyter Notebook - Size: 461 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 54 - Forks: 29

daugaard/linear-regression

Linear regression implemented in Ruby.

Language: Ruby - Size: 71.3 KB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 53 - Forks: 7

schneider128k/machine_learning_course

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Language: Jupyter Notebook - Size: 268 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 52 - Forks: 37

yangsenius/learning-to-learn-by-pytorch

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

Language: Python - Size: 70.3 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 52 - Forks: 15

RubixML/Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

Language: PHP - Size: 617 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 22

perseus784/BvS

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.)

Language: Python - Size: 24.2 MB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 51 - Forks: 21

EN10/CIFAR

CIFAR 10 image dataset

Language: Python - Size: 28.3 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 50 - Forks: 13

Rabbia-Hassan/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-by-DeepLearning.AI

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.

Language: Jupyter Notebook - Size: 175 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 50 - Forks: 30

decile-team/jensen

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.)

Language: C++ - Size: 20.4 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 50 - Forks: 21

ivallesp/awesome-optimizers

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: 4 days ago - Pushed at: about 5 years ago - Stars: 50 - Forks: 11

philipphundertmark/simple-linear-regression-notebook

Simple demo of linear regression built with numpy in a jupyter notebook.

Language: Jupyter Notebook - Size: 171 KB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 46 - Forks: 42

bharathsudharsan/ML-MCU

Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Language: C - Size: 886 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 8

VincentGranville/Statistical-Optimization

Statistical optimization for AI and machine learning

Language: Python - Size: 22.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 45 - Forks: 13

Lyrichu/sopt

sopt:A simple python optimization library

Language: Python - Size: 619 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 13

shreyansh26/ML-Optimizers-JAX

Toy implementations of some popular ML optimizers using Python/JAX

Language: Python - Size: 10.7 KB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 44 - Forks: 2

perseus784/Multi-Robot_Exploration

This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.

Language: Python - Size: 2.9 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 11

hiroyuki-kasai/SparseGDLibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Language: Matlab - Size: 22.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 27

arsenyturin/SGD-From-Scratch

Stochastic gradient descent from scratch for linear regression

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 40 - Forks: 17

Meluiscruz/IA_Notebooks_de_Dot_CSV

Hola, en este repositorio encontrarás los cuadernos realizados en el canal Dot CSV.

Language: Jupyter Notebook - Size: 451 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 15

ahmedfgad/IntroDLPython

This repository is updated by a number of introductory projects to deep learning with Python.

Language: Python - Size: 453 KB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 39 - Forks: 6

fr3fou/gone

neural network library in go from scratch

Language: Go - Size: 185 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 38 - Forks: 2

somidad/mlat

2D or 3D multilateration in C++/C#/JS/Matlab/Python

Language: C# - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 13

Koukyosyumei/Gymbo

gradient-based symbolic execution engine implemented from scratch

Language: C++ - Size: 10.1 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 0

VuBacktracking/Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 18

arthurdjn/nets

Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

Language: Python - Size: 10.7 MB - Last synced at: 22 days ago - Pushed at: about 4 years ago - Stars: 34 - Forks: 4

SimpleArt/spsa

A simple implementation of SPSA with automatic learning rate tuning

Language: Python - Size: 220 KB - Last synced at: 25 days ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 0

thecml/dpsgd-optimizer

Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.

Language: Python - Size: 7.12 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 32 - Forks: 5

LoyumM/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Non-credit online course by DeepLearning.AI

Language: Jupyter Notebook - Size: 61.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 19

erenup/deeplearningbasics

深度学习数学、模型结构和基础应用

Size: 8.36 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 8

switchablenorms/AdaX

AdaX: Adaptive Gradient Descent with Exponential Long Term Momery

Language: Python - Size: 517 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 31 - Forks: 8

the-mrinal/ML-Notebook

Karma of Humans is AI

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 27 - Forks: 21

noway/yagrad

yet another scalar autograd engine - featuring complex numbers and fixed DAG

Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 2

abeschneider/stem

Swift Tensor Extensions for Machine-learning

Language: Swift - Size: 651 KB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 26 - Forks: 2

nirum/descent

First-order optimization tools

Language: Python - Size: 780 KB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 5

hengluchang/visualizing_momentum

Visualizing Gradient Descent with Momentum in Python

Language: Python - Size: 7.81 KB - Last synced at: 8 days ago - Pushed at: over 6 years ago - Stars: 25 - Forks: 11

umbertogriffo/Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Language: Python - Size: 805 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 25 - Forks: 10

donutloop/machine-learning-research-papers

Collection of machine learning research paper references

Size: 55.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 24 - Forks: 3

aromanro/MachineLearning

From linear regression towards neural networks...

Language: C++ - Size: 250 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 24 - Forks: 0

aromanro/DFTQuantumDot

Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK

Language: C++ - Size: 226 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 24 - Forks: 10

shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Language: Jupyter Notebook - Size: 93.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 12

Zymrael/PortHamiltonianNN

Port-Hamiltonian Approach to Neural Network Training

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 26 days ago - Pushed at: over 5 years ago - Stars: 22 - Forks: 10

harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Language: Python - Size: 58.6 KB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 6

doccstat/fastcpd

Fast Change Point Detection in R

Language: C++ - Size: 96.2 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 21 - Forks: 1

serengil/neural-networks-py

Core neural networks framework supporting to build multilayer perceptron

Language: Python - Size: 39.1 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 12

raklokesh/ReinforcementLearning_Sutton-Barto_Solutions

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Language: Python - Size: 4.47 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 20 - Forks: 4

airPeter/Meta_SCMT

Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from current Local Periodic Approximation(LPA) based methods is that Meta_SCMT can achieve fullwave-level accuracy with much less computational resource.

Language: Python - Size: 23.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 2

Arko98/Gradient-Descent-Algorithms

A collection of various gradient descent algorithms implemented in Python from scratch

Language: Python - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 12

lettier/interactive-simple-linear-regression

A PureScript, browser-based implementation of simple linear regression.

Language: PureScript - Size: 3.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 5

bimalka98/Computer-Vision-and-Image-Processing 📦

Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄

Language: Jupyter Notebook - Size: 333 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 8

Anwarvic/CS224n--NLP-with-Deep-Learning

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

Language: Jupyter Notebook - Size: 341 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 16

DuaneNielsen/cma-es

Demo of Covariance Matrix Adaptation, Evolutionary Strategy

Language: Python - Size: 10.2 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 3

bhattbhavesh91/gradient-descent-variants

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

Language: Jupyter Notebook - Size: 115 KB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 21

Related Topics
machine-learning 570 linear-regression 422 python 333 neural-network 222 logistic-regression 221 deep-learning 186 optimization 166 numpy 152 machine-learning-algorithms 127 neural-networks 123 backpropagation 100 optimization-algorithms 95 tensorflow 86 python3 80 stochastic-gradient-descent 79 regression 72 data-science 66 classification 59 regularization 58 jupyter-notebook 55 matplotlib 54 decision-trees 53 pandas 53 pytorch 51 artificial-intelligence 51 deep-neural-networks 46 perceptron 45 matlab 44 convolutional-neural-networks 44 supervised-learning 43 svm 42 naive-bayes-classifier 41 adam-optimizer 41 gradient-descent-algorithm 39 random-forest 39 ai 37 linear-algebra 35 ml 33 artificial-neural-networks 33 sklearn 33 keras 30 rmsprop 28 scikit-learn 28 knn 27 mini-batch-gradient-descent 27 gradient 27 regression-models 27 support-vector-machines 27 mathematics 26 pca 25 adagrad 25 reinforcement-learning 25 polynomial-regression 25 algorithm 25 mnist 24 sgd 24 data-visualization 24 statistics 24 k-means-clustering 23 convex-optimization 23 from-scratch 23 momentum 23 genetic-algorithm 23 visualization 22 cost-function 22 xgboost 21 cnn 21 feedforward-neural-network 20 kmeans-clustering 20 clustering 19 adam 18 data-analysis 18 ridge-regression 18 batch-gradient-descent 18 deeplearning 18 loss-functions 18 principal-component-analysis 18 cpp 17 gradient-boosting 17 image-classification 17 back-propagation 17 newtons-method 17 backpropagation-learning-algorithm 17 multivariate-regression 17 lasso-regression 16 octave 16 unsupervised-learning 16 coursera 15 numerical-methods 15 automatic-differentiation 15 recommender-system 15 supervised-machine-learning 15 42 15 newton-method 15 javascript 15 machinelearning 14 recurrent-neural-networks 14 feature-engineering 14 scipy 14 normal-equation 14