Zonas's starred repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
chinese_correct_wsd
简易的中文纠错和消歧
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DenseCTC-Keras
chinese ocr, crnn, densectc, for rec text, 中英文文字识别OCR
MaskTextSpotterV3
The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"
OCR_DataSet
收集并整理有关OCR的数据集并统一标注格式,以便实验需要
PytorchOCR
基于Pytorch的OCR工具库,支持常用的文字检测和识别算法
unet-nested-multiple-classification
This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
AttentionOCR
Scene text recognition
FreeAnchor
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
pytorch-doc-zh
Pytorch 中文文档
CRNN_Tensorflow
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch