ivivan's Stars
commaai/openpilot
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
VikParuchuri/marker
Convert PDF to markdown quickly with high accuracy
HqWu-HITCS/Awesome-Chinese-LLM
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
phidatahq/phidata
Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.
assafelovic/gpt-researcher
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
nltk/nltk
NLTK Source
letta-ai/letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
Zeyi-Lin/HivisionIDPhotos
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
lux-org/lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
promptfoo/promptfoo
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
andrewyng/translation-agent
kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
NannyML/nannyml
nannyml: post-deployment data science in python
alicezheng/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
emcf/thepipe
Extract clean data from anywhere, powered by vision-language models ⚡
pakerwreah/Calendr
Menu bar calendar for macOS
LiuHC0428/LAW-GPT
中文法律对话语言模型
ml-explore/mlx-swift-examples
Examples using MLX Swift
ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
aikho/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
solegalli/feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning
YC-Coder-Chen/feature-engineering-handbook
A practical feature engineering handbook
trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
phdinds-aim/time_series_handbook
MatthiasWinkelmann/firstname-database