huzqatpku

huzqatpku

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STU-Net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

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MIU-VL

This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

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CITE

[MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification

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PULSE

PULSE: Pretrained and Unified Language Service Engine

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MedFM

Official Repository of NeurIPS 2023 - MedFM Challenge

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MedLSAM

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

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pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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Probabilistic-Unet-Pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

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DCNv2

Deformable Convolutional Networks v2 with Pytorch

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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neusomatic

NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection

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pysam

Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.

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torchnet

Torch on steroids

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pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

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AIStartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

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A-Collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

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tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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hts-specs

Specifications of SAM/BAM and related high-throughput sequencing file formats

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boxx

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

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opencv

Open Source Computer Vision Library

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dla

Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

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convNet.pytorch

ConvNet training using pytorch

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