gradient-descent

There are 11 repositories under gradient-descent topic.

gorgonia
gorgonia / gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
artificial-intelligence automatic-differentiation computation-graph deep-learning deep-neural-networks deeplearning differentiation go golang gorgonia gradient-descent graph-computation hacktoberfest machine-learning neural-network symbolic-differentiation
Language:Go 5871
google / neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Language:Jupyter Notebook 2360
kthohr / optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
optim evolutionary-algorithms differential-evolution particle-swarm-optimization bfgs cpp cpp11 lbfgs optimization optimization-algorithms openmp openmp-parallelization armadillo numerical-optimization-methods gradient-descent newton eigen automatic-differentiation eigen3
Language:C++ 877
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.
gradient-descent bayesian-statistics calculus determinants eigenvalues-and-eigenvectors linear-algebra linear-equation linear-regression machine-learning mathematical-optimization mathematics probability
Language:Jupyter Notebook 738
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
neural-network convolutional-neural-networks backpropagation-algorithm gradient-descent machine-learning classification-algorithims cnn supervised-learning ai cuda gpu-acceleration csharp netstandard net-framework visual-studio
Language:C# 561
kotlingrad
breandan / kotlingrad
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
automatic-differentiation differentiable-programming computer-algebra kotlin types shape-safety multi-stage-programming symbolic-differentiation optimization gradient-descent algebraic-data-types array-programming message-passing linear-algebra chinese
Language:Kotlin 542
volotat / DiffMorph
Image morphing without reference points by applying warp maps and optimizing over them.
gradient-descent image-morphing morph morphing warp warp-map warp-operation
Language:Python 486
gokadin / ai-simplest-network
The simplest form of an artificial neural network explained and demonstrated.
artificial-neural-networks artificial-intelligence machine-learning tutorial gradient-descent golang
Language:Go 400
shreyans29 / thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
neural-network pandas-tutorial semicolon scikit perceptron gradient-descent keras scikit-learn matplotlib numpy machine-learning count-vectorizer deep-learning convolutional-neural-networks cnn-keras sentiment-analysis data-science lstm rnn tutorial
Language:Jupyter Notebook 396
Uno
cvanaret / Uno
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
optimization-algorithms optimization-methods optimization nonlinear-optimization nonlinear-programming nonlinear-programming-algorithms gradient-descent newton-method numerical-optimization interior-point-method quadratic-programming sequential-quadratic-programming continuous-optimization mathematical-programming constrained-optimization nonconvex-optimization mathematical-optimization optimization-solver local-optimization cpp
Language:C++ 393
hiroyuki-kasai / NMFLibrary
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
nmf optimization-algorithms matrix-factorization data-analysis constrained-optimization gradient-descent matlab-toolbox online-learning stochastic-optimizers robust-optimization sparse-representations orthogonal nonnegative-matrix-factorization nonnegativity-constraints probabilistic-matrix-factorization clustering-algorithm divergence
Language:MATLAB 335
gy910210 / neural-network-from-scratch
Implementing Multiple Layer Neural Network from Scratch
neural-network computation-graph gradient-descent
Language:Python 326
ikostrikov / pytorch-meta-optimizer
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
deep-learning gradient-descent pytorch
Language:Python 317
Suji04 / ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
decision-tree-classifier decision-tree-regression gradient-descent k-means-clustering knn-algorithm linear-regression logistic-regression python stochastic-gradient-descent youtube-channel
Language:Jupyter Notebook 314
xie-lab-ml / 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.
deep-learning gradient-descent machine-learning optimization
288
tsycnh / mlbasic
深度学习常用优化方法详解
gradient-descent minibatch-sgd momentum sgd
Language:Python 269
emilwallner / Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
deep-learning linear-regression mnist perceptron least-squares gradient-descent backpropagation
Language:Jupyter Notebook 262
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)
statistical-models visualization python coronavirus epidemic-model covid-19 seir-model gradient-descent ridge-regression
Language:Jupyter Notebook 245
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
advanced-probability algorithm approximation-algorithms deep-learning deep-learning-mathematics gradient-descent linear-algebra machine-learning machine-learning-mathematics mathematics probability static-analysis
222
snrazavi / Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine-learning regression classification logistic-regression neural-networks support-vector-machines clustering dimensionality-reduction pca recommender-system anomaly-detection python linear-regression supervised-learning unsupervised-machine-learning gradient-descent backpropagation
Language:Jupyter Notebook 216
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.
data-science kaggle machine-learning hands-on pandas numpy scikit-learn python programming project jupyter-notebook gradient-descent xgboost decision-trees optimization python3
Language:Jupyter Notebook 205
computational-imaging / neural-holography
Code and data for Neural Holography
camera-in-the-loop double-phase gerchberg-saxton gradient-descent holography holonet
Language:Python 193
mstksg / backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
automatic-differentiation backprop backpropagation deep-learning gradient-descent graph neural-network
Language:Haskell 192
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.
reinforcement-learning supervised-machine-learning unsupervised-machine-learning linear-regression logistic-regression gradient-descent multiple-linear-regression regularization anomaly-detection artificial-neural-networks kmeans-clustering recommender-system tensorflow tree-ensemble xgboost
Language:Jupyter Notebook 191
lucfra / FAR-HO
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
hyperparameter-optimization optimization gradient-descent tensorflow
Language:Jupyter Notebook 190
faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning learning-curve pca linear-regression gradient-descent svm principal-component-analysis clustering neural-network k-means recommender-system classification regularization anomalydetection
Language:R 174
avik-pal / RayTracer.jl
Differentiable RayTracing in Julia
differentiable-programming gradient-descent inverse-rendering julia machine-learning mesh-rendering optimization ray-tracer raytracer
Language:Julia 154
flatiron-school-data-science-curriculum-resources
MrGeislinger / flatiron-school-data-science-curriculum-resources
Lesson material on data science and machine learning topics/concepts
data-science statistical-distributions gradient-descent machine-learning pandas learning statistics numpy data-visualization sql linear-regression deep-learning neural
Language:Jupyter Notebook 151
hahnec / torchimize
numerical optimization in pytorch
pytorch gauss-newton gauss-newton-method levenberg-marquardt levenberg-marquardt-algorithm parallel-computing parallel gradient-descent
Language:Python 138
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
neural-network rust webassembly gradient-descent backpropagation neural-networks neural-networks-from-scratch wasm-bindgen wasm simd data-visualization
Language:Rust 137
fotisk07 / Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
neural-network ai matplotlib numpy-tutorial deep-learning deep-neural-networks backpropagation backpropagation-learning-algorithm gradient-descent deeplearning-ai jupyter-notebook rnn keras keras-neural-networks tensorflow cnn-classification cnn-for-visual-recognition lstm-neural-networks poetry-generator music-generation
Language:Jupyter Notebook 137
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.
andrew-ng calculas coursera data-science deep-learning deeplearning-ai gradient-descent linear-algebra luis-serrano machine-learning mathematics matrices probability python statistics vectors
Language:Jupyter Notebook 125
snrazavi / Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
machine-learning numpy matplotlib scikit-learn linear-classification workshop machine-learning-workshop softmax gradient-descent neural-networks backpropagation dropout batch-normalization optimization-algorithms deep-learning convolutional-neural-networks keras python
Language:Jupyter Notebook 122
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.
sentiment-analysis sentiment-classification neural-network natural-language-processing machine-learning text-classification deep-learning tf-idf tutorial example-project imdb dataset text-sentiment gradient-descent backpropagation php machine-learning-tutorial multi-layer-perceptron php-ml php-machine-learning
Language:PHP 115
llhthinker / MachineLearningLab
Some experiments about Machine Learning
machine-learning frequent-itemset-mining classification regression-models gradient-descent chinese-word-segmentation
Language:Python 114
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!
machine-learning-algorithms gradient-descent evolution-strategies stock-market-monte-carlo monte-carlo mcmc deep-learning-scratch feed-forward-scratch rnn-scratch cnn-scratch
Language:Jupyter Notebook 112

gradient-descent

gorgonia / gorgonia

google / neural-tangents

kthohr / optim

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

Sergio0694 / NeuralNetwork.NET

breandan / kotlingrad

volotat / DiffMorph

gokadin / ai-simplest-network

shreyans29 / thesemicolon

cvanaret / Uno

hiroyuki-kasai / NMFLibrary

gy910210 / neural-network-from-scratch

ikostrikov / pytorch-meta-optimizer

Suji04 / ML_from_Scratch

xie-lab-ml / deep-learning-dynamics-paper-list

tsycnh / mlbasic

emilwallner / Deep-Learning-From-Scratch

YiranJing / Coronavirus-Epidemic-COVID-19

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

snrazavi / Machine_Learning_2018

rojaAchary / 30-Days-of-ML-Kaggle

computational-imaging / neural-holography

mstksg / backprop

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

lucfra / FAR-HO

faridcher / ml-course

avik-pal / RayTracer.jl

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

hahnec / torchimize

Ameobea / neural-network-from-scratch

fotisk07 / Deep-Learning-Coursera

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

snrazavi / Machine-Learning-in-Python-Workshop

RubixML / Sentiment

llhthinker / MachineLearningLab

huseinzol05 / Machine-Learning-Numpy