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Name: Stevie Yeh
Name: Stevie Yeh
Code Repository for Satpathy Granja et al 2019
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.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
bead-based normalization of mass cytometry data
Use Seurat,monocle etc in R to analysis 10X single cell dataset
Bio Align Anlysis(scRNA,wes etc)
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Cytometry dATa anALYsis Tools
Representation Learning for detection of phenotype-associated cell subsets
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Use the method to auto classify cell type in single cell
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
Continious Generative Adversarial Network
This is a data iterator I write for my dataset,it also include data agumention
The job for science ,wechat
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
Deeplab for semantic segmentation tasks
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系sc[email protected] 版权所有，违权必究 Tan 2018.06
Python package built to ease deep learning on graph, on top of existing DL frameworks.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.