[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

Explainability for Vision Transformers

Implementation of the paper 'Towards Learning Convolutions from Scratch'

Handwritten text recognition using transformers.

Generative Adversarial Transformers

Library - Vanilla, ViT, DeiT, BERT, GPT

Efficient inference of directed graphical structures based on linear polytree models

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

The PyTorch implementation for "Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation" (ACM MM2021).

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to b…

Implementations of various Deep Learning models in PyTorch and TensorFlow.

PAC-Bayes with Backprop - Tighter risk certificates for neural networks

trustworthy AI related projects

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Image classification on the CIFAR 10 Dataset for classes: plane, cat and truck.

Transformer for Graph Classification (Pytorch and Tensorflow)