Popular GitHub Repositories for Accurate

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Fast and Accurate ML in 3 Lines of Code

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

The most accurate natural language detection library for Python, suitable for short text and mixed-language text

Real-time and accurate open-vocabulary end-to-end object detection

The most accurate natural language detection library for Go, suitable for short text and mixed-language text

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

The most accurate natural language detection library for Rust, suitable for short text and mixed-language text

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.