Christoph Reich's Projects
This repo implements a 3D segmentation task for an airport baggage dataset.
Library for activation functions implemented in Triton/PyTorch
This repo implements a 3D segmentation task for an airport baggage dataset.
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
Cheatsheet for the lecture Computer Vision at TU Darmstadt
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
Cheatsheet for the lecture Deep Learning for Natural Language Processing at TU Darmstadt
Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].
Formelsammlung für das Modul Elektronik (TU Darmstadt).
FNet 2D: Scaling Fourier Transform Token Mixing To Vision
Gluon CV Toolkit
PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].
PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
Geometric Computer Vision Library for Spatial AI
Short python script for auto compiling Latex files.
PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [ECCV 2022].
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Mode collapse example of GANs in 2D (PyTorch).
Official and maintained implementation of the paper "Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy" [MICCAI 2021].
[MLSys '22 artifact] an incremental x264 video encoder for video analytics
Neural network from scratch in C++.
PyTorch implementation of the classical optical flow visualization by Baker et al. [ICCV 2007].
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
PyTorch reimplementation of the paper "Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks" [ICLR 2020].
Latex code for making neural networks diagrams
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Reimplementation of the paper "Scaling Vision Transformers to 22 Billion Parameters" by Dehghani et al. [arXiv, 2023]
PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].