45 Open source projects that are alternatives of or similar to Pytorch Meta Optimizer

Implementing Multiple Layer Neural Network from Scratch

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

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

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

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

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

First-order optimization tools

Toy implementations of some popular ML optimizers using Python/JAX

Final Project of the Udacity AI Programming with Python Nanodegree

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

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

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

Code for Learned Turbo-ype Affine Rank Minimization

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

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

Slides and notebooks for my tutorial at PyData London 2018

Matlab library for gradient descent algorithms: Version 1.0.1

sopt:A simple python optimization library

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

Multiple Regression Package for PHP

An R package for large scale estimation with stochastic gradient descent

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

Lesson material on data science and machine learning topics/concepts

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

深度学习常用优化方法详解

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

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

Heterogeneous automatic differentiation ("backpropagation") in Haskell

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

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

Differentiable RayTracing in Julia

Fast and Easy Infinite Neural Networks in Python

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

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

Variational Inference in Gaussian Mixture Model

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

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

Neural Networks in Java 8 with CuDNN and Aparapi

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

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

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

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

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

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