Marcus Edel's Projects
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Code for One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022)
Fast and embedded solvers for nonlinear optimal control
Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
Deep Adaptive Inference Networks for Single Image Super-Resolution
Attention-guided CNN for image denoising(Neural Networks,2020)
AHRS
A cross-platform, OpenGL terminal emulator.
C++ library for solving large sparse linear systems with algebraic multigrid method
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"
Header only, C++ library (and the Python pyaudi package) implementing the algebra of Taylor truncated polynomials and a few algorithms useful for its applications (Differential Intelligence, automatic differentiation, Taylor Models, etc.)
Code and dataset for photorealistic Codec Avatars driven from audio
Image augmentation library in Python for machine learning.
WebSocket and WAMP in Python for Twisted and asyncio
automatic differentiation made easier for C++
Collect optimizer related papers, data, repositories
Collect super-resolution related papers, data, repositories
Collect super-resolution related papers, data, repositories
PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"
Tasks for Azure Pipelines
Azure Pipelines YAML examples, templates, and community interaction
Bandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).