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Lucas Cinelli's Projects

bayesnn icon bayesnn

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

foreground-segmentation icon foreground-segmentation

Pytorch code for "Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks" (SBRT 2017)

optibnb icon optibnb

An Airbnb price prediction model. Built by Dino Rodriguez, Chase Davis, and Ayomide Opeyemi.

otimizacao-convexa icon otimizacao-convexa

Disciplina CPE773 - Otimizacao Convexa da pos-graduacao do Programa de Engenharia Eletrica (PEE) da COPEE/UFRJ

otimizacao-natural icon otimizacao-natural

Listas de exercicio resolvidas da matéria CPE723 - Otimizacao Natural do PEE/COPEE/UFRJ

probabilistic-backpropagation icon probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

probabilistic-nn icon probabilistic-nn

Probabilistic approach to neural nets - modern scalable approximate inference methods

vdao-anomaly icon vdao-anomaly

Code for "Moving-camera Video Surveillance in Cluttered Environments using Deep Features" (ICIP 2018)

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

videoflow icon videoflow

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

waffle.io icon waffle.io

Smart and Simple Project Management for Teams on GitHub (A repo for tracking the Waffle.io team's public-facing work.)

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