Pinned Repositories
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
Analise-tweets-ICD-Unifor
Trabalho da cadeira de introdução à ciência de dados
analise_dados_grafos
atlantico_bootcamp
Atividades de sala realizadas no Curso de computação cognitiva
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
deep_sort_yolov3_pytorch
Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv
DEKR
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
desafio-cientista-de-dados
Desafio para Cientista de Dados - VAGAS.com
projetos-algoritmos
eduardodut's Repositories
eduardodut/projetos-algoritmos
eduardodut/18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
eduardodut/Analise-tweets-ICD-Unifor
Trabalho da cadeira de introdução à ciência de dados
eduardodut/analise_dados_grafos
eduardodut/atlantico_bootcamp
Atividades de sala realizadas no Curso de computação cognitiva
eduardodut/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
eduardodut/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
eduardodut/deep_sort_yolov3_pytorch
Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv
eduardodut/DEKR
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
eduardodut/desafio-matematica-ENEM2016
Desafio
eduardodut/DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
eduardodut/Estatistica_ciencia_dados
Repositorio dos trabalhos da cadeira de estatística para ciência de dados
eduardodut/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
eduardodut/ICD_machine_learning
eduardodut/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
eduardodut/Mineracao_dados_textos_web
eduardodut/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
eduardodut/pca_demo
eduardodut/python_tutorial
python tutorial
eduardodut/random_forest_demo
eduardodut/self_dialogue_corpus
The Self-dialogue Corpus - a collection of self-dialogues across music, movies and sports
eduardodut/sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
eduardodut/template_neo4j
eduardodut/TensorFlowObjectDetectionTutorial
A tutorial on object detection using TensorFlow
eduardodut/topicos_cd_cnn
eduardodut/Topicos_ciencia_dados
Trabalhos da disciplina de tópicos avançados de ciência de dados 2020.2
eduardodut/Trabalho_final_estatistica_cd
eduardodut/TransT
Transformer Tracking (CVPR2021)
eduardodut/TsetFall_dataset
eduardodut/unifall_yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite