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Max Planck Institute for Intelligent Systems
- Tübingen, Germany
- https://ps.is.mpg.de/person/aosman
- @ahmedaaosman
Stars
An Open Source Machine Learning Framework for Everyone
A library for efficient similarity search and clustering of dense vectors.
Productive, portable, and performant GPU programming in Python.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D engine that enables developers and content creators to build AAA games, cinema-quality 3D worlds, and high-fidelity simulations wit…
Bringing Characters to Life with Computer Brains in Unity
A C++ standalone library for machine learning
open Multi-View Stereo reconstruction library
A flexible, high-performance 3D simulator for Embodied AI research.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
UnrealCV: Connecting Computer Vision to Unreal Engine
Mitsuba 2: A Retargetable Forward and Inverse Renderer
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
GPU Raytracer from scratch in C++/CUDA
Breakout Detection via Robust E-Statistics
Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
C++ Implementation of SMPL: A Skinned Multi-Person Linear Model
Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper
Implementation of the CVPR 2015 paper: Learning to propose objects
The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings