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Eduardo Dutra's Projects

18s191 icon 18s191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

deep-high-resolution-net.pytorch icon 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 icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dekr icon 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)

directml icon 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.

kalman-and-bayesian-filters-in-python icon 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.

pcabootplot icon pcabootplot

Create 2D Principal Component Plots with Bootstrapping

self_dialogue_corpus icon self_dialogue_corpus

The Self-dialogue Corpus - a collection of self-dialogues across music, movies and sports

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

transt icon transt

Transformer Tracking (CVPR2021)

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