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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

examples

Examples code

foodcat

A convolutional Neural Network which recognize food classes by pictures

gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

interestpoints

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

labelmeannotationtool

Source code for the LabelMe annotation tool.

ml-contests-conf

ML and DL related contests, competitions and conference challenges.

mlcontests.github.io

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

monocular-video-odometery

Monocular odometry using OpenCV

neurips2019-traffic4cast

sample code for our traffic4cast NeurIPS 2019 competition

objectposeestimationsummary

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

ork.build

orkid

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

pherrusa7.github.io

probability_cheatsheet

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

rgbdtoolkit

Filmmaking toolkit for depth sensors and high resolution color cameras

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.

weather4cast

Code accompanying our IARAI Weather4cast Challenge

weather4cast-2022

Starter Kit for the NeurIPS 2022 Weather4cast competition

weather4cast2021

Code accompanying our IARAI Weather4cast Challenge