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gradient-descent

Here are 1,290 public repositories matching this topic...

gorgonia

gorgonia / gorgonia

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

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

Updated Nov 13, 2022
Go

google / neural-tangents

Fast and Easy Infinite Neural Networks in Python

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

Updated Feb 13, 2023
Jupyter Notebook

PatWie / CppNumericalSolvers

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Updated Aug 13, 2022
C++

kthohr / optim

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

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

Updated Feb 27, 2023
C++

Sergio0694 / NeuralNetwork.NET

Sponsor

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

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

Updated Dec 8, 2022
C#

kotlingrad

breandan / kotlingrad

Sponsor

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

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

Updated Feb 9, 2023
Kotlin

gokadin / ai-simplest-network

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

golang machine-learning tutorial artificial-intelligence artificial-neural-networks gradient-descent

Updated May 31, 2020
Go

volotat / DiffMorph

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

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

Updated Aug 25, 2022
Python

shreyans29 / thesemicolon

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

Updated Sep 16, 2020
Jupyter Notebook

ikostrikov / pytorch-meta-optimizer

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

deep-learning pytorch gradient-descent

Updated Aug 27, 2018
Python

gy910210 / neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

neural-network computation-graph gradient-descent

Updated Apr 14, 2016
Python

tsycnh / mlbasic

深度学习常用优化方法详解

sgd momentum gradient-descent minibatch-sgd

Updated Jul 22, 2017
Python

emilwallner / Deep-Learning-From-Scratch

Sponsor

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

deep-learning linear-regression least-squares mnist perceptron gradient-descent backpropagation

Updated Oct 10, 2019
Jupyter Notebook

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)

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

Updated Sep 30, 2022
Jupyter Notebook

hiroyuki-kasai / NMFLibrary

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

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

Updated Feb 24, 2023
MATLAB

snrazavi / Machine_Learning_2018

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

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

Updated Sep 16, 2021
Jupyter Notebook

lucfra / FAR-HO

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

tensorflow optimization hyperparameter-optimization gradient-descent

Updated Mar 24, 2020
Jupyter Notebook

mstksg / backprop

Sponsor

Heterogeneous automatic differentiation ("backpropagation") in Haskell

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

Updated Sep 3, 2022
Haskell

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

machine-learning algorithm deep-learning static-analysis linear-algebra probability mathematics gradient-descent approximation-algorithms machine-learning-mathematics deep-learning-mathematics advanced-probability

Updated Aug 11, 2017

faridcher / ml-course

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

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

Updated Apr 11, 2021
R

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