50 Open source projects that are alternatives of or similar to variants-of-rmsprop-and-adagrad

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

A tour of different optimization algorithms in PyTorch.

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

A lightweight and easy-to-use deep learning framework with neural architecture search.

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

A clean and simple data loading library for Continual Learning

🙋 Belajar daring bersama PHPID

🌊 Online machine learning in Python

Online Learning for Human Detection in 3D Point Clouds

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

GitBook: OSCP RoadMap

Stream Processing and Complex Event Processing Engine

Composable GAN framework with api and user interface

Implementation of Accurate Online Support Vector Regression in Python.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

A Flexible and Powerful Parameter Server for large-scale machine learning

Vue前台 + Django3.1 + DjangoRestful Framework + Ant Design Pro V4后台 开发的在线教育网站及后台管理

Course demo code and other hand-out materials for our data-driven web apps in Flask course

Online examples from "Boost C++ Application Development Cookbook":

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

Online feature-extraction and classification algorithm that learns representations of input patterns.

Field-aware factorization machine (FFM) with FTRL

Parameter Server implementation in Apache Flink

Online machine learning algorithms (based on OLL C++ library)

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

No description or website provided.

Free services, tools, articles and other resources for remote workers and distance learners

A framework for large scale recommendation algorithms.

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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

ML algorithm for real-time classification

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

An SDK to interface with Wekinator over OSC

Federated Principal Component Analysis Revisited!

.pdf Format Books for Machine and Deep Learning

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

implementation of factorization machine, support classification.

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Classifying the Blur and Clear Images

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Slides and notebooks for my tutorial at PyData London 2018

Tensorflow implementation of preconditioned stochastic gradient descent

🛍️RetailBox - eCommerce Recommender System using Machine Learning