1.google-research / timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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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
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
《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
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.
Streamlit — A faster way to build and share data apps.
Apache Superset is a Data Visualization and Data Exploration Platform
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
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Google Research
Performant financial charts built with HTML5 canvas
Meshery, the cloud native manager
Python training for business analysts and traders
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
🔎 Open source distributed and RESTful search engine.
Visualize, query, and stream to train on multimodal robotics data.
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.
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
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.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
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
Examples and guides for using the Gemini API
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The Cloud Native AI Platform
QuestDB is a high performance, open-source, time-series database
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 fastai deep learning library
This repository contains implementations and illustrative code to accompany DeepMind publications
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.
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。
Build, Manage and Deploy AI/ML Systems
PyTorch code and models for the DINOv2 self-supervised learning method.
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
🦉 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.
Scalable datastore for metrics, events, and real-time analytics
An open source multi-tool for exploring and publishing data
Fast and Accurate ML in 3 Lines of Code
The Kubernetes Package Manager
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
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.
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
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
Python Stream Processing
Low-code framework for building custom LLMs, neural networks, and other AI models
Automate code & data workflows with interactive Elixir notebooks
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
🕸️ Web apps in pure Python 🐍
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。
Automatically generates beautiful and easy-to-read ER diagrams from your database.
📈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)
Vizro is a low-code toolkit for building high-quality data visualization apps.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Techniques for deep learning with satellite & aerial imagery
cuDF - GPU DataFrame Library
Flax is a neural network library for JAX that is designed for flexibility.
the portable Python dataframe library
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 📐
Turns Data and AI algorithms into production-ready web applications in no time.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Kubernetes Community Documentation
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
The Open Source Feature Store for AI/ML
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A library for visualization and creative-coding
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.
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.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Natural Gradient Boosting for Probabilistic Prediction
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Scalable machine 🤖 learning for time series forecasting.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
No description provided by the repository host.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Library for animated data visualizations and data stories.
Python Streaming DataFrames for Kafka
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
A multi-voice TTS system trained with an emphasis on quality