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awesome-python-1

A curated list of awesome Python frameworks, libraries, software and resources

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。

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-scene-graphs

awesome-vehicle-datasets

balancedgroupsoftmax

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

bert-multi-label-text-classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch行人重识别，涉及细粒度识别

bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

blood-group-detection

This image Classifier is trained to classify the Blood Group using the slides of blood. Model takes images in raw RGB form and transforms it into threshold-ed image and classifies it.

caffe

Caffe: a fast open framework for deep learning. caffe-ssd 更改实现Textboxes实现文本行 或者单子检测

caffe-augmentation

Data Augmentation for Caffe

caffe-augmentation-1

:zap: Caffe real-time data augmentation on-the-fly!!

caffe-tensorflow

Caffe models in TensorFlow

caffe_multilabel_classification

This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.

caltech-pedestrian-dataset-converter

Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB

caltech-ucsd-birds-pytorch

German traffic signs dataset is analysed with Keras. This task is a multi-class classification problem and the dataset is complex because of containing 200 classes with 12000 images. The dataset is splitted into training, validation and test dataset and normalised. Data is preprocessed and data augmentation is applied. The ResNet model is used by the courtesy of transfer learning and trained. At the end of this process, 69% acurracy is obtained on the test dataset

cam

Class Activation Mapping CNN提取的feature含有位置信息，尽管我们在训练的时候并没有标记位置信息；2）这些位置信息，可以转移到其他的认知任务当中

car-damage-detective

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

carrot

这儿收集了一些免费好用的ChatGPT镜像站 当前：47个站点

cbir

🏞 A content-based image retrieval (CBIR) system

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

centernet-better

An easy to understand and better performance version of CenterNet

cervical_cancer_object_detection

'Digitized Human Body' Visual Challenge - Intelligent Diagnosis of Cervical Cancer Risk 天池大赛项目：“数字人体”视觉挑战赛-宫颈癌风险智能诊断

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chatgpt-shortcut

Maximize your efficiency and productivity. 让生产力加倍的 ChatGPT 快捷指令，按照领域和功能分区，可对提示词进行标签筛选、关键词搜索和一键复制。

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

chinese_ocr_synthetic_data

The progress was used to generate synthetic dataset for Chinese OCR.

chinesebqb

🇨🇳 Chinese sticker pack,More joy / 表情包的博物馆, Github最有毒的仓库, **表情包大集合, 聚欢乐~

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率