Popular GitHub Repositories for Analytics Zoo

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

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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

PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

A collection of libraries to optimise AI model performances

? Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic ?: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Alluxio, data orchestration for analytics and machine learning in the cloud

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Flower: A Friendly Federated AI Framework

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

A code-first agent framework for seamlessly planning and executing data analytics tasks.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Cool experiments at the intersection of Computer Vision and Sports ??

Pre-trained Deep Learning models and demos (high quality and extremely fast)

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

Scalable and user friendly neural :brain: forecasting algorithms.