Bachelorwangwei

Bachelorwangwei's starred repositories

ms-swift

Use PEFT or Full-parameter to finetune 300+ LLMs or 60+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

Language:PythonApache-2.0299300

Awesome-AIGC-Tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

MIT371600

sqlcoder

SoTA LLM for converting natural language questions to SQL queries

Language:Jupyter NotebookApache-2.0322500

MAC-SQL

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Language:Python16600

vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Language:PythonMIT1043100

DB-GPT-Hub

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

Language:PythonMIT128700

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

Language:HTMLApache-2.0865000

Circle-detection

Circle detection/circle detector by arc-support line segments. The source code for IEEE ICIP paper.

9900

cupy

NumPy & SciPy for GPU

Language:PythonMIT805900

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Language:PythonApache-2.0269000

Cross-Scale-Non-Local-Attention

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

Language:Python39900

blur-kernel-space-exploring

Exploring Image Deblurring via Blur Kernel Space (CVPR'21)

Language:PythonApache-2.014200

TecoGAN

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

Language:PythonApache-2.0593300

SynthText

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Language:PythonApache-2.0200000

DAVAR-Lab-OCR

OCR toolbox from Davar-Lab

Language:PythonApache-2.072600

bezier_curve_text_spotting

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

Language:PythonNOASSERTION42600

ContourNet

A PyTorch implementation of "ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection" (CVPR2020)

Language:PythonNOASSERTION22800

Generate-LicensePlate-with-GAN

Using GAN magic to generate more realistic license plates

Language:Python6600

TPS_STN-tensorflow

TensorFlow implementation of Thin Plate Spline Spatial Transformer Network

Language:PythonApache-2.03200

License_Plate_Detection_Pytorch

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Language:Jupyter NotebookNOASSERTION64200

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

16800

Bachelorwangwei