Pinned Repositories
ai-virus
Master list of data and research on applying machine learning to COVID-19 and other viruses
awesome-deep-neuroevolution
A collection of resources for Deep Neuroevolution or evolutionary algorithms for Deep Learning
awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
BASS
A Bayesian group factor model with structured sparsity
chexnet
Implementation of the CheXNet network (PyTorch)
cifar-10-cnn
Using cifar-10 datasets to learn deep learning.
CNN_design_for_AD
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
Deep-Learning-Methods-for-Medical-Image-Analysis
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
ErickCai's Repositories
ErickCai/Deep-Learning-Methods-for-Medical-Image-Analysis
ErickCai/ai-virus
Master list of data and research on applying machine learning to COVID-19 and other viruses
ErickCai/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
ErickCai/Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
ErickCai/ConsistentGraphLearning
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
ErickCai/COVID-CAPS
A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
ErickCai/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
ErickCai/covid-cxr
Neural network model for classifying chest X-rays by presence of COVID-19 features
ErickCai/COVID-Net
COVID-Net Open Source Initiative
ErickCai/COVID-Next-Pytorch
COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images
ErickCai/covid-sanity
Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19
ErickCai/COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
ErickCai/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
ErickCai/DeepClustering
Methods and Implements of Deep Clustering
ErickCai/deeplearning-models
A collection of various deep learning architectures, models, and tips
ErickCai/dlaicourse
Notebooks for learning deep learning
ErickCai/faiss
A library for efficient similarity search and clustering of dense vectors.
ErickCai/fastai
The fastai deep learning library, plus lessons and tutorials
ErickCai/GNNPapers
Must-read papers on graph neural networks (GNN)
ErickCai/Inf-Net
code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" submit to TMI2020.
ErickCai/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
ErickCai/Multi-view_Clustering
MATLAB code for 7 Multi-view Spectral Clustering algorithms
ErickCai/nputhesis
ErickCai/Open-Source-COVID-19
A global collection of Open Source projects during COVID-19
ErickCai/opytimizer
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.
ErickCai/psets
Consolidate all problem sets into one repo
ErickCai/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
ErickCai/pyodds
An End-to-end Outlier Detection System
ErickCai/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
ErickCai/X-Ray-ConvNet
CNN for Chest X-Ray pathology detection (NIH Chest X-Ray Dataset)