MartinHahner
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Fit interpretable models. Explain blackbox machine learning.
MATLAB Independent, Small & Safe, High Integrity Tools - code formatter and more
Lime: Explaining the predictions of any machine learning classifier
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The official repository of the OpenTrench3D dataset: A 3D Point Cloud Dataset of Open Trenches for Semantic Segmentation of Underground Utilities
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Dockerfile linter, validate inline bash, written in Haskell
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Open source platform for the machine learning lifecycle
Deutsches Windows-PC-Tastaturlayout für macOS // German Windows PC keyboard layout for macOS
Highcharts JS, the JavaScript charting framework
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Visualizer for neural network, deep learning and machine learning models
Automated cryptocurrency trading bot
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[CVPRW '23] Real-time depth estimation with an event camera and a laser projector
Official implementation of AISY 2022 paper MC-EMVS (Multi-Camera Event-based Multi-View Stereo)
Official implementation of "Stereo Depth from Events Cameras: Concentrate and Focus on the Future" (CVPR 2022)
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
A natural language interface for computers
Code for "Continuous-time Intensity Estimation Using Event Cameras" (ACCV, 2018)
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…