Models and examples built with TensorFlow

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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Most popular metrics used to evaluate object detection algorithms.

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Flops counter for convolutional networks in pytorch framework

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Implementations of recent research prototypes/demonstrations using MONAI.

Semi-Supervised Learning, Object Detection, ICCV2021

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make ext…

The PatchCamelyon (PCam) deep learning classification benchmark.

Exploring Visual Prompts for Adapting Large-Scale Models

PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!

An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

Convex hull of given 3D points

Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020

A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.

Code base for the paper ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations

Divide and conquer algorithm for computing convex hulls

This is a fork of official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows", adapted to do multi-label classification for NIH (ChestX-ray14) dataset.

Implementation of a patch-level and pixel-level clustering pretext task for self-supervised learning on radiology datasets (BraTS, LiTS, LUNA).