Pinned Repositories
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's Repositories
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.)