1.lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
- instruction-set
- llama
- +7 more
Ranked by Attention Score: stars gained over the last 30 complete days
1–100 of 229 by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
AirLLM 2.8T LLM inference with single 4GB GPU
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The Prometheus monitoring system and time series database.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
ClickHouse® is a real-time analytics database management system
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.
Apache Superset is a Data Visualization and Data Exploration Platform
Download market data from Yahoo! Finance's API
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 Airflow - A platform to programmatically author, schedule, and monitor workflows
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Apache Spark - A unified analytics engine for large-scale data processing
Performant financial charts built with HTML5 canvas
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
Google Research
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Meshery, the cloud native manager
Label Studio is a multi-type data labeling and annotation tool with standardized output format
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
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.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
🔎 Open source distributed and RESTful search engine.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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.
Visualize, query, and stream to train on multimodal robotics data.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Python training for business analysts and traders
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
Refine high-quality datasets and visual AI models
Examples and guides for using the Gemini API
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
PyTorch code and models for the DINOv2 self-supervised learning method.
Deep Learning for humans
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)
The Kubernetes Package Manager
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
🕸️ Web apps in pure Python 🐍
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
QuestDB is a high performance, open-source, time-series database
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Always know what to expect from your data.
🦉 Data Versioning and ML Experiments
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
The fastai deep learning library
This repository contains implementations and illustrative code to accompany DeepMind publications
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
Fast and Accurate ML in 3 Lines of Code
The Cloud Native AI Platform
Scalable datastore for metrics, events, and real-time analytics
Build, Manage and Deploy AI/ML Systems
An open source multi-tool for exploring and publishing data
A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架,支持实现脑图、ER图、UML、工作流等各种图编辑场景。
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Lightning ⚡️ fast forecasting with statistical and econometric models.
No description provided by the repository host.
The Open Source Feature Store for AI/ML
A python library for user-friendly forecasting and anomaly detection on time series.
Performance analysis of predictive (alpha) stock factors
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Turns Data and AI algorithms into production-ready web applications in no time.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Flax is a neural network library for JAX that is designed for flexibility.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Techniques for deep learning with satellite & aerial imagery
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Kubernetes Community Documentation
Automate code & data workflows with interactive Elixir notebooks
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
Automatically generates beautiful and easy-to-read ER diagrams from your database.
Scalable and user friendly neural :brain: forecasting algorithms.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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.
the portable Python dataframe library
Low-code framework for building custom LLMs, neural networks, and other AI models
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Vizro is a low-code toolkit for building high-quality data visualization apps.
cuDF - GPU DataFrame Library
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
No description provided by the repository host.