I always try to contribute to the projects I use
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Name: Lucas lopes
Type: User
Name: Lucas lopes
Type: User
Este repositório apresenta algoritmos para análise de sentimentos em texto, inicialmente pensado para o português, classificando os sentimentos em felicidade, tristeza e raiva.
Esse repositório contém implementação python e formulação matemática das combinações completas ordenadas de palavras em uma frase. Sua implementação está ligada a combinação de palavras utilizadas na linguagem Libras.
Esse repositorio contem uma implementa;'ao em html+javascript que faz uso do handpose.
Esse projeto tem por objetivo tentar realizar a analise de sentimentos em videos de libras
Esse repositório contém dados, relatórios e notebook Jupyter para interpretação das informações de aposentados e pensionistas do serviço público.
Attention based sequence to sequence neural machine translation model built in keras.
Cereja is a bundle of useful functions we don't want to rewrite and .. just pure fun!
An initial aproach for particle packing using LSTM networks.
PyTorch code and models for the DINOv2 self-supervised learning method.
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
A algorithm for particle packing using the geometric separation technique.
Repositório da equipe de Maceió do Global Game Jam 2022
Implementation of a few sorting algorithms in OpenCL
Projetos do grupo de estudo IC-Games-Dev
Iris Data Example Python Numpy
Keras documentation, hosted live at keras.io
Learn OpenCV : C++ and Python Examples
We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).
OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
Collection of Jupyter notebooks to execute HPC anywhere (with internet conection)
keras version of Realtime Multi-Person Pose Estimation modified for transfer learning
Simple Python age & gender face image estimation tool
pytorch implementation of openpose including Hand and Body Pose Estimation.
A reimplementation of real time human pose estimation using Pytorch. Both CMU's original model and mobilenet backbone are provided. The code is optimized for a faster inference time !
A k-means variation that produces clusters of the same size utilizing the scikit-learn API and related utilities
Display and control your Android device
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.