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zhanguochang's Projects

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

adnet icon adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

alphazero_gomoku icon alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

asffnet512 icon asffnet512

This is a totally reimplemented version of our ASFFNet (CVPR2020) on 512*512 images.

auto-image-rotator icon auto-image-rotator

Automatically rotates images to their proper orientation based on detected faces.

awesome-python-cn icon awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由「开源前哨」和「Python开发者」微信公号团队维护更新。

bbn icon bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bertner icon bertner

bert-ner for chinese with BiLSTM+CRF model

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinese-llm-benchmark icon chinese-llm-benchmark

中文大模型能力评测榜单:覆盖百度文心一言、chatgpt、阿里通义千问、讯飞星火、belle / chatglm6b 等开源大模型,多维度能力评测。不仅提供能力评分排行榜,也提供所有模型的原始输出结果!

chinesener icon chinesener

A neural network model for Chinese named entity recognition

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

convit icon convit

Code for the Convolutional Vision Transformer (ConViT)

courseselect icon courseselect

校园选课系统样本 (a template for course selection system by Ruby on Rails)

darknet icon darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

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