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Ajinkya Puar's Projects

microsoft-airsim icon microsoft-airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

mixedrealitytoolkit-unity icon mixedrealitytoolkit-unity

Mixed Reality Toolkit (MRTK) provides a set of components and features to accelerate cross-platform MR app development in Unity.

mixer icon mixer

Add-on for real-time collaboration in Blender (mirror only, please post your issues and merge requests at https://gitlab.com/ubisoft-animation-studio/mixer)

ml-docker icon ml-docker

Docker image for running Mask RCNN with GPU support.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-neuman icon ml-neuman

Official repository of NeuMan: Neural Human Radiance Field from a Single Video (ECCV 2022)

ml4a-ofx icon ml4a-ofx

A collection of openFrameworks apps for working with machine learning

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlkit icon mlkit

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

mmaction2 icon mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

mobilecameratemplate icon mobilecameratemplate

A HTML5, JS, CSS Camera interface template. Feel free to use it in your next Computer Vision or AI project.

mocap-vfx icon mocap-vfx

Unity project of 3D pose estimation with VFX using Barracuda and VFX Graph.

model-viewer icon model-viewer

Easily display interactive 3D models on the web and in AR!

models-1 icon models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

moments icon moments

A quick GIF replay recorder for Unity

mongo-express icon mongo-express

Web-based MongoDB admin interface, written with Node.js and express

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

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