#Gradient-descent
Showing 29 of 29 repositories tagged #gradient-descent, ranked by stars
Gorgonia is a library that helps facilitate machine learning in Go.
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where youโll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
๐งฉ Shape-Safe Symbolic Differentiation with Algebraic Data Types
The simplest form of an artificial neural network explained and demonstrated.
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Implementing Multiple Layer Neural Network from Scratch
๐ฉ๐ปโโ๏ธCovid-19 estimation and forecast using statistical model; ๆฐๅๅ ็ถ็ ๆฏ่บ็็ป่ฎกๆจกๅ้ขๆต (Jan 2020)
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.
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Lesson material on data science and machine learning topics/concepts
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
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
Final Project of the Udacity AI Programming with Python Nanodegree
๐น Rose: Range-Of-Slice Equilibration PyTorch optimizer. Stateless optimization through range-normalized gradient updates.
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Code for https://fosterelli.co/executing-gradient-descent-on-the-earth
simple machine learning demo
An R package for large scale estimation with stochastic gradient descent
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
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
neural network library in go from scratch
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
gradient-based symbolic execution engine implemented from scratch
From linear regression towards neural networks...