sshao2013's Stars
Health-Research-From-Home/HealthResearchFromHome
The Health Research From Home partnership, led by the University of Manchester, will transform the future of health research using smartphones and wearables.
Health-Research-From-Home/Webinars
You won’t find events like ours anywhere else. They will be created and run by people who have successfully completed research projects using smartphones and wearables and they’ll be designed to help you complete your own research project.
qingsongedu/timeseries-tutorial-kdd-2024
OxWearables/biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
wangkai930418/awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
google-deepmind/graphcast
hehonghui/awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
PKU-YuanGroup/ChatLaw
ChatLaw:A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
SamurAIGPT/EmbedAI
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
huaweicloud/ModelArts-Lab
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:huaweicloud.ai
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
ddbourgin/numpy-ml
Machine learning, in numpy
MLNLP-World/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
TingFree/NLPer-Arsenal
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
OxWearables/capture24
Capture24: Human activity recognition with activity trackers
connorferster/handcalcs
Python library for converting Python calculations into rendered latex.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
YunYouJun/cook
🍲 好的,今天我们来做菜!OK, Let's Cook!
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
pliang279/awesome-phd-advice
Collection of advice for prospective and current PhD students
fastai/fastai
The fastai deep learning library
eecrazy/ACM
ACM模板和一些题目的代码实现
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.