edwindebuger

edwindebuger's Stars

• CompPhysics/ComputationalPhysicsMSU

  For weekly plans, slides etc this site contains all relevant info

  7538

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#17.4k4.2k

• karttikeya/awesome-human-pose-prediction

  A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)

  463

• jlblancoc/suitesparse-metis-for-windows

  CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake

  Language:C451217

• AMLab-Amsterdam/L0_regularization

  Learning Sparse Neural Networks through L0 regularization

  Language:Python23947

• isl-org/Open3D

  Open3D: A Modern Library for 3D Data Processing

  Language:C++11.7k2.3k

• mosra/magnum

  Lightweight and modular C++11 graphics middleware for games and data visualization

  Language:C++4.8k440

• wei-mao-2019/LearnTrajDep

  code for learning trajectory dependencies for human motion prediction

  Language:Python25045

• microsoft/VoTT

  Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

  Language:TypeScript4.3k838

• nmwsharp/geometry-central

  Applied 3D geometry in C++, with a focus on surface meshes.

  Language:C++1.1k154

• LuxCoreRender/LuxCore

  LuxCore source repository

  Language:C++1.2k146

• ipc-sim/IPC

  Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

  Language:C++57973

• Cartucho/mAP

  mean Average Precision - This code evaluates the performance of your neural net for object recognition.

  Language:Python2.9k912

• Finspire13/RL-Surgical-Gesture-Segmentation

  Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification (MICCAI 2018)

  Language:Python4614

• tancik/fourier-feature-networks

  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

  Language:Jupyter Notebook1.3k135

• lorenmt/maxl

  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

  Language:Python17128

• 3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data

  The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

  909109

• facebookresearch/pifuhd

  High-Resolution 3D Human Digitization from A Single Image.

  Language:Python9.6k1.5k

• flexible-collision-library/fcl

  Flexible Collision Library

  Language:C++1.5k417

• epezent/implot

  Immediate Mode Plotting

  Language:C++4.9k539

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++26.4k2.3k

• danielgy/Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning

  18546

• nobuyuki83/tech_note

  Notes on simulation

  Language:TeX143

• danfis/libccd

  Library for collision detection between two convex shapes

  Language:C524110

• xelatihy/yocto-gl

  Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics

  Language:C++2.8k207