pherrusa7

Bounce-Ball

Funny game to get start with Unity3D

Caffe-Utilities

Some caffe (http://caffe.berkeleyvision.org/) tricks and utilities to share

DAT4

General Assembly's Data Science course in Washington, DC

Deep-Learning-and-Causal-Inference

foodCAT

A convolutional Neural Network which recognize food classes by pictures

gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

Sentinel5P

Some scripts that help you downloading and processing satellite data from L2 to L3 products form Sentinel-5P mission: "perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone & UV radiation, and climate monitoring & forecasting." Note that L2 products are processed measurements provided by ESA (https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) and L3 is the projection of these measurements into a common grid or raster (https://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/what-is-raster-data.htm)

Traffic4cast_NeurIPS_2019

Visual_Explanations_for_CNNs

I did research in all kind of visual explanations for CNNs since saliency maps and another techniques ending up with Grad-CAM, the newer, which I have implemented a general version that can be used for any model in keras.

Weather4cast2021

Code accompanying our IARAI Weather4cast Challenge

pherrusa7/Sentinel5P

Some scripts that help you downloading and processing satellite data from L2 to L3 products form Sentinel-5P mission: "perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone & UV radiation, and climate monitoring & forecasting." Note that L2 products are processed measurements provided by ESA (https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) and L3 is the projection of these measurements into a common grid or raster (https://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/what-is-raster-data.htm)

pherrusa7/Caffe-Utilities

Some caffe (http://caffe.berkeleyvision.org/) tricks and utilities to share

pherrusa7/Weather4cast2021

Code accompanying our IARAI Weather4cast Challenge

pherrusa7/foodCAT

A convolutional Neural Network which recognize food classes by pictures

pherrusa7/Traffic4cast_NeurIPS_2019

pherrusa7/Visual_Explanations_for_CNNs

I did research in all kind of visual explanations for CNNs since saliency maps and another techniques ending up with Grad-CAM, the newer, which I have implemented a general version that can be used for any model in keras.

pherrusa7/gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

pherrusa7/Bounce-Ball

Funny game to get start with Unity3D

pherrusa7/DAT4

General Assembly's Data Science course in Washington, DC

pherrusa7/Deep-Learning-and-Causal-Inference

pherrusa7/Examples

Examples code

pherrusa7/InterestPoints

Find interest Points in your city for your customers under some criteria

pherrusa7/LabelMeAnnotationTool

Source code for the LabelMe annotation tool.

pherrusa7/ml-contests-conf

ML and DL related contests, competitions and conference challenges.

pherrusa7/mlcontests.github.io

A list of public machine learning/data science/AI contests.

pherrusa7/Monocular-Video-Odometery

Monocular odometry using OpenCV

pherrusa7/NeurIPS2019-traffic4cast

sample code for our traffic4cast NeurIPS 2019 competition

pherrusa7/ObjectPoseEstimationSummary

Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

pherrusa7/ork.build

pherrusa7/orkid

Orkid Media Engine (C++/Lua/Python3/Linux/MacOs/OpenVR)

pherrusa7/pherrusa7.github.io

pherrusa7/probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pherrusa7/RGBDToolkit

Filmmaking toolkit for depth sensors and high resolution color cameras

pherrusa7/weather4cast

Code accompanying our IARAI Weather4cast Challenge

pherrusa7/weather4cast-2022

Starter Kit for the NeurIPS 2022 Weather4cast competition