Popular GitHub Repositories for Series Datasets

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

pix2code: Generating Code from a Graphical User Interface Screenshot

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Open source annotation tool for machine learning practitioners.

A powerful tool for creating fine-tuning datasets for LLM

Refine high-quality datasets and visual AI models

A Library for Advanced Deep Time Series Models.

Techniques for deep learning with satellite & aerial imagery

An open-source, low-code machine learning library in Python

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes

A python library for user-friendly forecasting and anomaly detection on time series.