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c-

caffe

Caffe: a fast open framework for deep learning.

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

chattts

ChatTTS is a generative speech model for daily dialogue.

clash-for-linux-backup

基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

classification_models

Classification models trained on ImageNet. Keras.

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

dogs_vs_cats

猫狗大战

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

faster-rcnn-keras

这是一个faster-rcnn的keras实现的库，可以利用voc数据集格式的数据进行训练。

faster-rcnn_tf

Faster-RCNN in Tensorflow

flask

fpn-keras

根据这个https://github.com/matterport/Mask_RCNN修改的FPN

googlenet-keras-test

Testing ideas with GoogLeNet

imgaug

Image augmentation for machine learning experiments.

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

keras-faster-rcnn

Cloned from https://github.com/yhenon/keras-frcnn. Added resnet101 support

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_frcnn

Keras Implementation of faster-rcnn

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

legado

Legado 3.0 Book Reader with powerful controls & full functions❤️阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

linux-rpi

Kernel source tree for Raspberry Pi-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://forums.raspberrypi.com/

mqtt_c

A MQTT Packet with C

object-detection

经典目标检测方法整理

openwrt-redmi-ax3000

Openwrt for Redmi AX3000 / Xiaomi CR8806 / Xiaomi CR8808 / Xiaomi CR8809

pyconv

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

question2

resnet-pyconv-attention

rpi4-osdev

Tutorial: Writing a "bare metal" operating system for Raspberry Pi 4