wrapping a keras optimizer to implement gradient accumulation
Analysis pipeline for ATAC-seq Data
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Representation Learning for detection of phenotype-associated cell subsets
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
Deeplab for semantic segmentation tasks
A collection of face related papers
Source Code for 'Machine Learning with PySpark' by Pramod Singh
Mastering Julia 1.0 by Packt Publishing
A dataset of datasets for learning to learn from few examples
pytorch implementation of Optimization as a Model for Few-shot Learning
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Gathers machine learning and Tensorflow deep learning models for NLP problems.
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
VIP cheatsheets for Stanford's CS 229 Machine Learning
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.