Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

End-to-End Object Detection with Transformers

Minimal and clean examples of machine learning algorithms implementations

Blender addons to make the bridge between Blender and geographic data

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…

Implementation of papers in 100 lines of code.

Flet sample applications

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

[TMM 2022] Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation

A Python Graph Matching Toolkit.

[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.

PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.

Gromov-Wasserstein Alignment of Embeddings

Graph neural network implementation using numpy

Supervised/Unsupervised Alignment of Clear/Anonymized X-Vector with Procrustes/Wasserstein Procrustes