1.shiyu-coder / Kronos
Kronos: A Foundation Model for the Language of Financial Markets
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Kronos: A Foundation Model for the Language of Financial Markets
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
One has no future if one couldn't teach themself.
WeFlow - 一个本地的微信聊天记录导出和年度报告应用
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
Apache Superset is a Data Visualization and Data Exploration Platform
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
AI Observability & Evaluation
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
FinRL®: Financial Reinforcement Learning. 🔥
Extremely fast Query Engine for DataFrames, written in Rust
Learn ML engineering for free in 4 months! Register here 👇🏼
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
The modern link attribution platform. Loved by world-class engineering teams at Twilio, Zillow, Jobber, Vercel, Raycast, and more.
Performant financial charts built with HTML5 canvas
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache ECharts is a powerful, interactive charting and data visualization library for browser
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Meshery, the cloud native manager
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
Google Research
🐸 Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
🔥Highlighting the top ML papers every week.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Reference PyTorch implementation and models for DINOv3
A fully open source & end-to-end encrypted note taking alternative to Evernote.
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
🔎 Open source distributed and RESTful search engine.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
All-in-one IoT Platform - Device management, data collection, processing and visualization.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python training for business analysts and traders
Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
🔥 人人可用的开源 BI 工具,数据可视化神器。An open-source BI tool alternative to Tableau.
Open Source Feature Flags, Experimentation, and Product Analytics
Visualize, query, and stream to train on multimodal robotics data.
A High-Quality Real Time Upscaler for Anime Video
matplotlib: plotting with Python
Visualizer for neural network, deep learning and machine learning models
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
Examples and guides for using the Gemini API
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
An open-source, self-hosted personal AI note tool prioritizing privacy, built using TypeScript .
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
WebGL2 powered visualization framework
Companion webpage to the book "Mathematics For Machine Learning"
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
100 numpy exercises (with solutions)
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
VIP cheatsheets for Stanford's CS 229 Machine Learning
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Practice your pandas skills!
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
🕸️ Web apps in pure Python 🐍
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open3D: A Modern Library for 3D Data Processing
Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
PyTorch code and models for the DINOv2 self-supervised learning method.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Simple HTML5 Charts using the <canvas> tag
QuestDB is a high performance, open-source, time-series database
Count your code, quickly.
Refine high-quality datasets and visual AI models