Search Results - RepositoryStats

430

5.5k

apache-2.0

191

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

go golang gorgonia deeplearning deep-learning hacktoberfest neural-network differentiation gradient-descent machine-learning computation-graph graph-computation deep-neural-networks artificial-intelligence symbolic-differentiation automatic-differentiation

Created 2016-09-14

896 commits to master branch, last one about a year ago

neural-tangents google

226

2.3k

apache-2.0

62

Fast and Easy Infinite Neural Networks in Python

jax kernel deep-networks gradient-flow neural-networks neural-tangents gradient-descent bayesian-networks infinite-networks training-dynamics bayesian-inference gaussian-processes kernel-computation

Created 2019-04-08

650 commits to main branch, last one 8 months ago

optim kthohr

135

817

apache-2.0

38

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

cpp bfgs cpp11 eigen lbfgs optim eigen3 newton openmp armadillo optimization gradient-descent differential-evolution openmp-parallelization evolutionary-algorithms optimization-algorithms automatic-differentiation particle-swarm-optimization numerical-optimization-methods

Created 2017-06-14

307 commits to master branch, last one 6 months ago

NeuralNetwork.NET Sergio0694

86

547

gpl-3.0

36

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

ai cnn cuda csharp netstandard net-framework visual-studio neural-network gpu-acceleration gradient-descent machine-learning supervised-learning backpropagation-algorithm classification-algorithims convolutional-neural-networks

Created 2016-10-28

803 commits to master branch, last one 4 years ago

kotlingrad breandan

21

530

apache-2.0

19

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

types kotlin chinese optimization shape-safety linear-algebra message-passing computer-algebra gradient-descent array-programming algebraic-data-types multi-stage-programming symbolic-differentiation automatic-differentiation differentiable-programming

Created 2018-10-19

1,670 commits to master branch, last one 2 months ago

DiffMorph volotat

54

464

mit

13

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

warp morph morphing warp-map image-morphing warp-operation gradient-descent

Created 2021-01-02

65 commits to master branch, last one 2 years ago

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

175

355

unknown

4

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...

calculus mathematics probability determinants linear-algebra linear-equation gradient-descent machine-learning linear-regression bayesian-statistics mathematical-optimization eigenvalues-and-eigenvectors

Created 2023-05-02

88 commits to main branch, last one about a year ago

NMFLibrary hiroyuki-kasai

97

310

mit

17

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

nmf divergence orthogonal data-analysis matlab-toolbox online-learning gradient-descent robust-optimization clustering-algorithm matrix-factorization stochastic-optimizers sparse-representations optimization-algorithms constrained-optimization nonnegativity-constraints nonnegative-matrix-factorization probabilistic-matrix-factorization

Created 2017-04-04

149 commits to master branch, last one 2 years ago

ML_from_Scratch Suji04

228

281

unknown

6

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

python knn-algorithm youtube-channel gradient-descent linear-regression k-means-clustering logistic-regression decision-tree-classifier decision-tree-regression stochastic-gradient-descent

Created 2019-03-11

36 commits to master branch, last one 3 years ago

Uno cvanaret

20

275

mit

13

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...

cpp optimization newton-method gradient-descent local-optimization optimization-solver optimization-methods interior-point-method nonlinear-programming quadratic-programming nonconvex-optimization nonlinear-optimization numerical-optimization continuous-optimization optimization-algorithms constrained-optimization mathematical-programming mathematical-optimization nonlinear-programming-algorithms sequential-quadratic-programming

Created 2021-09-29

1,624 commits to main branch, last one 17 hours ago

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

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249

mit

16

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 sto...

optimization deep-learning gradient-descent machine-learning

Created 2022-06-22

38 commits to main branch, last one 7 months ago

Coronavirus-Epidemic-COVID-19 YiranJing

69

243

unknown

17

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

python covid-19 seir-model coronavirus visualization epidemic-model gradient-descent ridge-regression statistical-models

Created 2020-01-25

67 commits to master branch, last one 4 years ago

Coursera-Machine-Learning-Specialization quocviethere

158

234

unknown

3

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

xgboost tensorflow decision-trees tree-ensembles gradient-descent linear-regression logistic-regression recommender-systems supervised-learning artificial-neural-network

Created 2021-12-24

127 commits to main branch, last one about a year ago

Machine_Learning_2018 snrazavi

105

210

unknown

30

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

pca python clustering regression classification backpropagation neural-networks gradient-descent machine-learning anomaly-detection linear-regression recommender-system logistic-regression supervised-learning support-vector-machines dimensionality-reduction unsupervised-machine-learning

Created 2018-10-16

94 commits to master branch, last one 3 years ago

30-Days-of-ML-Kaggle rojaAchary

62

183

mit

4

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.

numpy kaggle pandas python project python3 xgboost hands-on programming data-science optimization scikit-learn decision-trees gradient-descent jupyter-notebook machine-learning

Created 2021-08-15

39 commits to main branch, last one 3 years ago

backprop mstksg

22

181

bsd-3-clause

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Heterogeneous automatic differentiation ("backpropagation") in Haskell

graph backprop deep-learning neural-network backpropagation gradient-descent automatic-differentiation

Created 2017-02-22

460 commits to master branch, last one 4 months ago

ml-course faridcher

148

172

unknown

15

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

pca svm k-means clustering classification learning-curve neural-network regularization anomalydetection gradient-descent machine-learning linear-regression recommender-system principal-component-analysis

Created 2016-04-15

46 commits to master branch, last one 5 months ago

neural-holography computational-imaging

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165

other

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Code and data for Neural Holography

holonet holography double-phase gerchberg-saxton gradient-descent camera-in-the-loop

Created 2020-10-12

2 commits to main branch, last one 3 years ago

RayTracer.jl avik-pal

12

150

mit

7

Differentiable RayTracing in Julia

julia raytracer ray-tracer optimization mesh-rendering gradient-descent machine-learning inverse-rendering differentiable-programming

Created 2019-03-17

176 commits to master branch, last one 3 years ago

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

140

146

unknown

9

Lesson material on data science and machine learning topics/concepts

sql numpy neural pandas learning statistics data-science deep-learning gradient-descent machine-learning linear-regression data-visualization statistical-distributions

Created 2019-04-01

548 commits to main branch, last one 3 years ago

torchimize hahnec

7

134

gpl-3.0

6

numerical optimization in pytorch

pytorch parallel gauss-newton gradient-descent parallel-computing gauss-newton-method levenberg-marquardt levenberg-marquardt-algorithm

Created 2022-03-21

243 commits to master branch, last one 5 months ago

neural-network-from-scratch Ameobea

12

125

unknown

6

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs

rust simd wasm webassembly wasm-bindgen neural-network backpropagation neural-networks gradient-descent data-visualization neural-networks-from-scratch

Created 2021-07-29

29 commits to main branch, last one about a month ago

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

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108

mit

1

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 Lad...

xgboost tensorflow tree-ensemble regularization gradient-descent anomaly-detection kmeans-clustering linear-regression recommender-system logistic-regression reinforcement-learning artificial-neural-networks multiple-linear-regression supervised-machine-learning unsupervised-machine-learning

Created 2022-07-26

175 commits to main branch, last one about a year ago

Sentiment RubixML

13

106

mit

7

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

Created 2018-12-09

57 commits to master branch, last one about a year ago

DL4S palle-k

13

102

mit

5

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

swift tensor autograd optimizers derivatives deep-learning neural-networks gradient-descent machine-learning recurrent-networks deep-neural-networks swift-machine-learning automatic-differentiation recurrent-neural-networks convolutional-neural-networks

Created 2019-03-10

311 commits to master branch, last one 2 years ago

least-squares-cpp Rookfighter

15

100

mit

7

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

header-only gauss-newton optimization least-squares gradient-descent levenberg-marquardt

Created 2018-05-23

246 commits to master branch, last one about a year ago

machine-learning-regression agrawal-priyank

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89

unknown

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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

python coursera gradient-descent machine-learning ridge-regression linear-regression multiple-regression polynomial-regression house-price-prediction university-of-washington machine-learning-regression

Created 2017-04-29

41 commits to master branch, last one 6 years ago

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

48

88

unknown

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

python vectors calculas coursera matrices andrew-ng statistics mathematics probability data-science luis-serrano deep-learning linear-algebra deeplearning-ai gradient-descent machine-learning

Created 2023-02-15

101 commits to master branch, last one 6 months ago