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adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

aitom

AI for tomography

ambiguous-medical-image-segmentation-using-diffusion-models

Accepted in CVPR 2023

chatgpt_academic

中科院科研工作专用ChatGPT，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

cipher-examples

常见加密算法

computational-cryoem

A curated list of awesome computational cryo-EM methods.

cryoem-cvpr2015

Source code to accompany the CVPR 2015 paper "Building Proteins in a Day"

cryptoapi-bench

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

cwt-for-fss

Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

defmap

DEFMap: Dynamics Extraction From cryo-em Map

denoise-gan-in-cryo-em

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

device-placement-optimization-with-reinforcement-learning

https://arxiv.org/abs/1706.04972

dlf

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

dnn-binary-code-similarity

em-gan

EM-GAN is a computational tool, which enables capturing protein structure information from cryo-EM maps more effectively than raw maps. It is based on 3D deep learning. It is aimed to help protein structure modeling from cryo-EM maps.

end-to-end-jdndmsr

End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fiba

Code for paper 'FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis'

freesolo

FreeSOLO for unsupervised instance segmentation, CVPR 2022

gencoding

The scalable bug search for binaries

hugging-llm

HuggingLLM, Hugging Future.

imgviz

Image Visualization Tools (object detection, semantic and instance segmentation)

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

medical-ai-learning-1

医学AI-学习笔记 (Medical AI - Learning Notes)

medsrgan

PyTorch implementation of "MedSRGAN: medical images super-resolution using generative adversarial networks"

park