creatorcao

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

awesome-pretrained-stylegan3

A collection of pretrained models for StyleGAN3

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

biobert-pytorch

PyTorch Implementation of BioBERT

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

BrainPrep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-learning-roadmap

my roadmap of learning deep learning

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

fastbook

The fastai book, published as Jupyter Notebooks

creatorcao/awesome-pretrained-stylegan3

A collection of pretrained models for StyleGAN3

creatorcao/awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

creatorcao/brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

creatorcao/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

creatorcao/CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

creatorcao/DeepContrast

A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.

creatorcao/endometriosis-scrnaseq

Code to reproduce analysis and figures for scRNA-seq analysis of endometriosis in Tan et al. 2021.

creatorcao/Faceswap-Deepfake-Pytorch

Faceswap with Pytorch or DeepFake with Pytorch

creatorcao/grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

creatorcao/Grad-CAM.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

creatorcao/hackathon-docs

Hackathon Documentation - Simple to follow examples of how to use FHIR, DICOMweb and other modern helathcare/medical imaging APIs

creatorcao/HybridModel-GradCAM

A Keras implementation of hybrid efficientnet swin transformer model.

creatorcao/improved-wgan-pytorch

Improved WGAN in Pytorch

creatorcao/kaggle-competition

creatorcao/Kaggle_Leaf_Disease_Classification

Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)

creatorcao/long_stable_diffusion

Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)

creatorcao/mask-rcnn

creatorcao/minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

creatorcao/Preprocessing-Pipeline-on-Brain-MR-Images

The project is used to do preprocessing on brain MR images.

creatorcao/pseudo_labeling_small_datasets

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

creatorcao/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

creatorcao/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

creatorcao/pytorch_diffusion

PyTorch reimplementation of Diffusion Models

creatorcao/Reinforcement-Learning-Notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

creatorcao/rnsa21-cnn-lstm

creatorcao/segment-anything-finetuner

Simple Finetuning Starter Code for Segment Anything

creatorcao/TimeSeriesAnalysisWithPython

creatorcao/TinyImageNet-Transformers

Transformers trained on Tiny ImageNet

creatorcao/Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

creatorcao/Transformers4Vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.