asmallcat Goto Github PK

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 版权所有，违权必究 Tan 2018.06

deep_learning_object_detection

A paper list of object detection using deep learning.

django-blog-tutorial

基于 Python3.5 和 Django 1.10 的 Django Blog 项目。

evolving_boxes

Python implementation of Evolving Boxes Evolving Boxes for Fast Vehicle Detection

exclusively-dark-image-dataset

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

handong1587.github.io

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

iccv2021-papers-with-code

ICCV 2021 论文和开源项目合集

java

存放JAVA开发的设计**、算法：《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机：JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程**(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》；一些大的上传不上来的文件在README

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！

lsts

[ECCV 2020] Learning Where to Focus for Efficient Video Object Detection

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

models

Models and examples built with TensorFlow

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

mycenter

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

objectdetectiondatasets

目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本

paperweeklyai

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

python-100-days

Python - 100天从新手到大师

rn-vid

Repository for the paper RN-VID: A Feature Fusion Architecture for Video Object Detection

sentiment-analysis-dl

使用深度学习方法（lstm+attention/textcnn+attention）完成情感分析

sequence-level-semantics-aggregation

Sequence Level Semantics Aggregation for Video Object Detection

spotnet

Repository for the paper SpotNet: Self-Attention Multi-Task Network for Object Detection

stl

简单stl的使用

tensorflow_template_application

TensorFlow template application for deep learning

text-classification

基于attention的CNN文本分类

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

textclassification

TextCNN中文文本二分类