lpcinelli

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

cnn-subband

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

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

functional-zoo

PyTorch and Tensorflow functional model definitions

lpcinelli.github.io

My blog!

otimizacao-convexa

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

otimizacao-natural

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

probabilistic-nn

Probabilistic approach to neural nets - modern scalable approximate inference methods

vdao-anomaly

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

lpcinelli/foreground-segmentation

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

lpcinelli/vdao-anomaly

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

lpcinelli/lpcinelli.github.io

My blog!

lpcinelli/otimizacao-natural

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

lpcinelli/probabilistic-nn

Probabilistic approach to neural nets - modern scalable approximate inference methods

lpcinelli/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

lpcinelli/cnn-subband

lpcinelli/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.

lpcinelli/functional-zoo

PyTorch and Tensorflow functional model definitions

lpcinelli/otimizacao-convexa

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

lpcinelli/hyperband

Tuning hyperparams fast with Hyperband

lpcinelli/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

lpcinelli/OptiBnB

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

lpcinelli/photo-album-2

new project version

lpcinelli/Probabilistic-Backpropagation

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

lpcinelli/svg

lpcinelli/vid2vid

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

lpcinelli/videoflow

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

lpcinelli/vision

Datasets, Transforms and Models specific to Computer Vision

lpcinelli/waffle.io

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