Explore live open-source projects and AI models.

Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.

Official Pytorch Implementation of Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model [ECCV'24]

Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

Unofficial PyTorch implementation of "Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model"

A PyTorch implementation of MedSegDiff, a diffusion probabilistic model designed for medical image segmentation.

Pytorch implementation of NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).

[BIBM2024 ML4BMI] Official PyTorch implementation of the paper "LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation"

Pytorch code of IGARSS2025 paper "MergeSAM: Unsupervised Change Detection of remote sensing Images Based on the Segment Anything Model"

A Python project for training a simple neural network on the MNIST dataset using PyTorch, exporting the model to ONNX format, and performing image classification using ONNX Runtime. The project includes steps to upload and utilize the ONNX model stored on Google Drive.