fgabel

Deep-Reinforcement-Learning-for-Visual-Object-Tracking-in-Videos

paper implementation for the Machine Learning for Computer Vision lecture

EfficientDet-DeepSORT-Tracker

2D Object Tracking for automated driving using WAYMO data.

Deep-Learning-and-Automated-Driving-Papernotes

notes and key points on ML / DL papers

novelty_detection

Training GANs to find out-of-distribution objects in segmentation maps

centerline

fgabel.github.io

image_bbox_slicer

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

chineseocr

yolo3+ocr

cryptoboss_frontend

Frontend of Cryptoboss

CS231n-Assignment-2

My submission of the 2nd assigment for Stanford's CS231n (Convolutional Neural Networks for Visual Recognition)

CycleGAN_OpenStreetMap

Machine Learning Project to learn a mapping between OpenStreetMap maps to satellite images

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Deep-Learning-Project-Template

A best practice for deep learning project template architecture.

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

h2o-2

h2o = fast statistical, machine learning & math runtime for bigdata

InferSent

InferSent sentence embeddings

MachineLearning-Lecture-project

Data augmentation techniques in classification of noisy images using CNNs

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

objecttracker

Implementation of the paper "Deep Reinforcement Learning for Object Tracking in Videos"

openrouteservice-examples

:books: (Mostly) real-world examples and inspirations to use the full breadth of ORS services and clients

quasi-dense

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Stockfish

UCI chess engine

tunit

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation

uni-reports

A repository to store about all of the reports I've written during my CS studies in Heidelberg.

waymo-dataset-viewer

waymo open dataset viewer