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Name: Rafael Padilla
Type: User
Bio: Computer Vision, Machine Learning and Anomaly Detection
Name: Rafael Padilla
Type: User
Bio: Computer Vision, Machine Learning and Anomaly Detection
A curated list of awesome Deep Learning tutorials, projects and communities.
Public repo for HF blog posts
Sample Javascript/Express app building on CircleCI
Useful functionalities added on the original darknet public repository.
Convolutional Neural Networks
馃 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Here are some of the results of my experiments applying Deep Learning for object detection.
馃 Evaluate: A library for easily evaluating machine learning models and datasets.
Web app and REST API built with Flask
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
馃馃敆 Build context-aware reasoning applications
Repository for starter code and supporting material
Hello world exercise from ND9991 C3 L4
Notebooks using the Hugging Face libraries 馃
Most popular metrics used to evaluate object detection algorithms.
Aulas do m贸dulo de C# do curso de P贸s-Gradua莽茫o em Desenvolvimento de Software para Dispositivos M贸veis (Cat贸lica Palmas-TO)
Aulas do m贸dulo de Xamarin do curso de P贸s-Gradua莽茫o em Desenvolvimento de Software para Dispositivos M贸veis (Cat贸lica Palmas-TO)
Practical courses Khipu 2023
React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Learn Robotics with JdeRobot
image scene graph generation benchmark
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
TCF-LMO is a network made with dedicated modules to process videos and identify the presence of anomalies in frames. It is composed by: dissimilarity model; a differentiable morphology module; temporal consistency; and classification module.
Official implementation of paper "TP-LSD: Tri-points based line segment detector" .
馃 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
馃枛 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 馃搳馃搱馃帀
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google 鉂わ笍 Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.