Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
MIT License
Implementation of recent Deep Learning papers
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A toolbox to iNNvestigate neural networks' predictions!
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Att...
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Rol...
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation a...
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This...
disentanglement_lib is an open-source library for research on learning disentangled representations.
A python library for decision tree visualization and model interpretation.
RepVGG: Making VGG-style ConvNets Great Again
pip install antialiased-cnns to improve stability and accuracy
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...