Fabrício Farias's starred repositories
android-modular-architecture
📚 Sample Android Components Architecture on a modular word focused on the scalability, testability and maintainability written in Kotlin, following best practices using Jetpack.
stream-chat-android
:speech_balloon: Android Chat SDK ➜ Stream Chat API. UI component libraries for chat apps. Kotlin & Jetpack Compose messaging SDK for Android chat
KRichEditor
A rich text editor (based on QuillJs and MRichTextEditor) ported to Kotlin
quill_html_editor
HTML rich text editor for Android, iOS, and Web, using the QuillJS library. QuillJS is a free, open source WYSIWYG editor built for the modern web.
quill_html_editor
HTML rich text editor for Android, iOS, and Web, using the QuillJS library. QuillJS is a free, open source WYSIWYG editor built for the modern web.
MRichEditor
A rich text editor sample (based on summernote)
Kotlin-Base-MVVM
💎 Android Base Project with Kotlin and MVVM applying clean architecture
FirebaseWithMVVM
Firebase with MVVM is a series of videos in which you will learn how to implement firebase with MVVM along with UI designs, GitHub branches, merging, and resolving conflicts.
RecommendMe
An hybrid content based and collaborative filtering Recommender System for the social network instagram that provides users with personalized recommendations of influencers based on the preferences of each one.
NMF-Recommendation-System
A Non Negative Matrix Factorization Recommendation System that suggests content for a social network application
Hybrid-Hotel-Recommendation-System-for-Yelp
Hotel Recommendation system based on Content, Collaborative, Social Network Based 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, 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
RichTextEditor
一种Android富文本编辑方案(An Android rich text editing scheme)
AztecEditor-Android
A reusable native Android rich text editor component.
EditorSample
Sample implementation of android rich text editor using AztecEditor-Android
android-kotlin-flutter-module
Integrate a Flutter module into your Kotlin native Android app.
html-editor-enhanced
A Flutter package that provides a WYSIWYG editor backed by flutter_inappwebview and the Summernote library.
android-summernote
Offline WYSIWYG HTML Editor for Android App
html-editor
HTML Editor for Android App
android-best-practices
Do's and Don'ts for Android development, by Futurice developers
android-gpuimage
Android filters based on OpenGL (idea from GPUImage for iOS)
awesome-android-libraries
This is an alphabetical list of libraries for Android development, the majority being actively maintained.
richeditor-android
RichEditor for Android is a beautiful Rich Text WYSIWYG Editor for Android.
ZSSRichTextEditor
A beautiful rich text WYSIWYG editor for iOS with a syntax highlighted source view
awesome-android-ui
A curated list of awesome Android UI/UX libraries
lottie-android
Render After Effects animations natively on Android and iOS, Web, and React Native