Youngyi

Youngyi's Stars

• wilile26811249/Next-ViT

  Unofficial PyTorch implementation of Next-ViT based on paper

  Language:Python181

• PengfeiRen96/DSF

  [TIP 2022] Code for "A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation"

  Language:Python263

• bytedance/Next-ViT

  Language:Python54778

• xieliaing/Data_Science_Industrial_Practice

  《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

  Language:Jupyter Notebook12667

• 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.

  Language:Jupyter Notebook3.7k710

• Youngyi/incubator-superset

  Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

  Language:Python1

• hoytech/vmtouch

  Portable file system cache diagnostics and control

  Language:C1.8k210

• SpiderClub/weibospider

  :zap: A distributed crawler for weibo, building with celery and requests.

  Language:Python4.8k1.2k

• woolition/greasyforks

  Personal TamperMonkey Userscripts

  Language:JavaScript417122

• S1ngS1ng/blog

  🤗 My Blog

  Language:CSS314

• guodongxiaren/README

  README文件语法解读，即Github Flavored Markdown语法介绍

  6.8k7.3k

• SnowColdplay/almm_baseline

  just baseline

  Language:Python6349

• Jack-Cherish/LeetCode

  :monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）

  Language:C++2.6k538

• ScarletPan/Kaggle-Rental-Listing-Inquireies

  Summary of getting a silver medal in kaggle

  Language:Python15067

• shenweichen/Tencent_Social_Ads2017_Mobile_App_pCVR

  Tencent Social Ads 2017 contest rank 20

  Language:Jupyter Notebook15748

• shenweichen/IJCAI_2018_Competition_baseline

  IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831

  Language:Python8838

• TsingJyujing/tushare-data-center

  TuShare数据中心样例代码

  Language:Python95

• intel-analytics/ipex-llm

  Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.

  Language:Python6.5k1.2k

• YcheLanguageStudio/PythonStudy

  Python Codes. topics: bioinformatics, cryptography, software analysis.

  Language:Python3

• fangniu/TargetOffer

  剑指Offer,用python实现代码

  Language:Python209

• PRML/PRMLT

  Matlab code of machine learning algorithms in book PRML

  Language:MATLAB6k2.2k

• JargoonPard/SpinnakerAzureTestScripts

  Python scripts for executing E2E tests of clouddriver

  Language:Python11

• agates/azure-python-scripts

  A collection of python scripts to work with the Azure API.

  Language:Python14

• osiegmar/cloudwatch-mon-scripts-python

  Linux monitoring scripts for CloudWatch

  Language:Python7669

• ohmyzsh/ohmyzsh

  🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

  Language:Shell172k25.8k

• databricks/learning-spark

  Example code from Learning Spark book

  Language:Java3.9k2.4k

• jadianes/spark-py-notebooks

  Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

  Language:Jupyter Notebook1.6k916

• mGalarnyk/Installations_Mac_Ubuntu_Windows

  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

  Language:Jupyter Notebook234168

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.1k7.8k

• houshanren/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS26.7k5.3k