Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
MIT License
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
Videos, notes and experiments to understand deep learning
[CVPR2020] Adversarial Latent Autoencoders
Network-to-Network Translation with Conditional Invertible Neural Networks
Pytorch implementation of convolutional neural network visualization techniques
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
Differentiable architecture search for convolutional and recurrent networks
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
🧠 ResNet: Deep Residual Learning for Image Recognition
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.c...
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Model interpretability and understanding for PyTorch