1.lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
- instruction-set
- llama
- +7 more
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1–100 of 175 by Attention Score · Oct 27, 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.
Download market data from Yahoo! Finance's API
Repository for Timestral, the time-series foundation model by Mistral AI
The Prometheus monitoring system and time series database.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
ClickHouse® is a real-time analytics database management system
《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。
《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
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
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.
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Spark - A unified analytics engine for large-scale data processing
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Google Research
Performant financial charts built with HTML5 canvas
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Python training for business analysts and traders
Meshery, the cloud native manager
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.
🔎 Open source distributed and RESTful search engine.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Visualize, query, and stream to train on multimodal robotics data.
An orchestration platform for the development, production, and observation of data assets.
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.
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
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
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.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Refine high-quality datasets and visual AI models
Examples and guides for using the Gemini API
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Deep Learning for humans
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
PyTorch code and models for the DINOv2 self-supervised learning method.
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.
The fastai deep learning library
QuestDB is a high performance, open-source, time-series database
The Cloud Native AI Platform
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.
Build, Manage and Deploy AI/ML Systems
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.
The Kubernetes Package Manager
This repository contains implementations and illustrative code to accompany DeepMind publications
Performance analysis of predictive (alpha) stock factors
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Python Stream Processing
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。
🦉 Data Versioning and ML Experiments
Fast and Accurate ML in 3 Lines of Code
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.
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
Always know what to expect from your data.
Low-code framework for building custom LLMs, neural networks, and other AI models
An open source multi-tool for exploring and publishing data
📈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)
🕸️ Web apps in pure Python 🐍
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A python library for user-friendly forecasting and anomaly detection on time series.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Techniques for deep learning with satellite & aerial imagery
the portable Python dataframe library
Automatically generates beautiful and easy-to-read ER diagrams from your database.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Vizro is a low-code toolkit for building high-quality data visualization apps.
Scalable datastore for metrics, events, and real-time analytics
Turns Data and AI algorithms into production-ready web applications in no time.
No description provided by the repository host.
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
cuDF - GPU DataFrame Library
Flax is a neural network library for JAX that is designed for flexibility.
Automate code & data workflows with interactive Elixir notebooks
Scalable and user friendly neural :brain: forecasting algorithms.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
A library for visualization and creative-coding
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Kubernetes Community Documentation
Official inference library for Mistral models
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
The Open Source Feature Store for AI/ML
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Elyra extends JupyterLab with an AI centric approach.