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ssaroha's Projects

chromium-webar icon chromium-webar

A proposal to provide Augmented Reality (AR) capabilities to the web in the form of a prototype on top of WebVR built in Chromium.

dash.js icon dash.js

A reference client implementation for the playback of MPEG DASH via Javascript and compliant browsers.

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

ffmpeg-tutorial icon ffmpeg-tutorial

A set of tutorials that demonstrates how to write a video player based on FFmpeg

gaia icon gaia

Gaia is a HTML5-based Phone UI for the Boot 2 Gecko Project. NOTE: For details of what branches are used for what releases, see https://wiki.mozilla.org/Release_Management/B2G_Landing

gloo icon gloo

Collective communications library with various primitives for multi-machine training.

horizon icon horizon

A platform for Applied Reinforcement Learning (Applied RL)

horovod icon horovod

Distributed training framework for TensorFlow.

learn-opengles-tutorials icon learn-opengles-tutorials

Welcome to the Learn OpenGL ES project home page! This project is a repository for the lessons and tutorials over at http://www.learnopengles.com/

loglevel icon loglevel

Minimal lightweight logging for JavaScript, adding reliable log level methods to wrap any available console.log methods

lucid icon lucid

A collection of infrastructure and tools for research in neural network interpretability.

mahout-recommender-webservice icon mahout-recommender-webservice

Since Mahout 0.5, Mahout's recommender webservice example taste-web is not included as part of standard distribution.. This project provides a working maven pom.xml which produces a .war file ready to be dropped into any standard tomcat webapp directory.

making360 icon making360

a collection of solutions and illustrations for common problems with producing immersive video experiences

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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