- Heidelberg, Germany
- kausable.ai
- in/jhaux
Stars
The Simulation and Image Processing for Photonics and Acoustics (SIMPA) toolkit.
Explanation for interactions between captions and images in CLIP models
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
Processed / Cleaned Data for Paper Copilot
Synthetic data curation for post-training and structured data extraction
An open-source Python library for Reinforcement Learning (RL), designed to model, optimize, and control dynamic systems.
Enable AI to control your desktop, mobile and HMI devices
Autogeneration of Python bindings from manually annotated C++ headers
The repo for reproducing the main results in TSMixer: An all-MLP Architecture for Time Series Forecasting.
Publication-ready NN-architecture schematics.
Visualizer for neural network, deep learning and machine learning models
Towards Unified Keyframe Propagation Models
python script to turn a web series into an ebook
A cross platform script that renders non-3D blender projects faster and gives access to additional FFmpeg features
Taming Transformers for High-Resolution Image Synthesis
Unsere Dokumentation ist hier zu finden:
PyTorch Implementation for Deep Metric Learning Pipelines
Examples of the hidden Notion.so API.
Reduce boilerplate code for your ML projects. TensorFlow and PyTorch.