@mikaelacaron built
A basic app to track your car's maintenance. Open source for Hacktoberfest 2025. Beginners are welcome!
Basic Car Maintenance Welcome to Basic Car Maintenance, an open-source app designed to help you get started with iOS development using Swift and SwiftUI. This project is beginner-friendly and open to contributions,…
@chrissimpkins built
Typefaces for source code beautification
Typefaces for Source Code Beautification About Main Font Gallery Bitmap Font Gallery Chinese, Japanese, Korean Developer Font Gallery Free, Non-Distrib EULA Developer Font Gallery Contribute to the Project Contributor…
@piyushpathak03 built
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
Recommendation-systems Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking,…
@qyxxjd built
汽车助手:消费信息的增删改查;消费记录、百分比统计表;百公里油耗曲线图,最低油耗/最高油耗信息
汽车助手 - 消费信息的增删改查 - 消费记录统计表 - 消费百分比统计表 - 百公里油耗曲线图,最低油耗/最高油耗信息 apk下载 截图 感谢 感谢以下开源库和作者，排名不分先后： - MPAndroidChart - [MaterialDia
@metapolator built
Design fonts and font families faster
Metapolator Metapolator will be a web-based parametric font editor, providing a GUI for designing with UFO fonts and Metafont technologies. Metapolator is intended for type designers to design large font families…
@Vaibhav67979 built
Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity of products.
Ecommerce-product-recommendation-system Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their browsing and purchase history. The…
@JeziL built
Personal assistant for managing and predicting your vehicle's maintenance needs.
CarVita Personal assistant for managing and predicting your vehicle's maintenance needs. English 中文 What CarVita do? ✅ Visualize Your Vehicle's Status: A clear dashboard provides an…
@photopea built
Typr.js - process fonts in Javascript
Typr.js LIVE DEMO Typr.js is a Javascript parser and utility for working with fonts (TTF, OTF, TTC, WOFF). It is an alternative to opentype.js. It is the main text engine for Photopea image editor. light and small (110…
@luxhomelab built
Car Maintenance Tracker App
Car Maintenance Tracker Overview The Car Maintenance Tracker application helps vehicle owners monitor upcoming service intervals and record past maintenance. It keeps a transparent overview of every vehicle a user owns,…
@kekee000 built
fonteditor core functions
fonteditor-core FontEditor core functions [![NPM version][npm-image]][npm-url] [![Downloads][downloads-image]][npm-url] Feature Read and write sfnt font like ttf, woff, woff2, eot, svg, otf. - sfnt parse - read, write,…
@tigoCaval built
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
Recommendation algorithm Collaborative filtering recommendation system - Ranking algorithm using likes / dislikes or star-based rating - This package can be used in any PHP application or with any framework. - Download…
