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100-days-of-ml-code

100-Days-Of-ML-Code中文版

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

bilibili346623

Examples shown in Bilibili Live 346623

birdviewtransform

4个不同方向的相机，将其鸟瞰变化后，进行拼接，得到车辆及周围区域的鸟瞰视角图 Put FOUR image(or video stream) from 4 different directions together, and form them into a bird view.

chromium

Chromium browser with SSL VPN. Use this browser to unblock websites.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

darknet

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

deep-learning-for-computer-vision-with-python

The code for the book of "Deep-Learning-For-Computer-Vision-With-Python"

deep-learning-for-computer-vision-with-python-starter-bundle

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_learning_for_computer_vision_with_python

Deep Learning For Computer Vision With Python

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

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18个章节，50余万字。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............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

driver_attention

We aim to determine the attentiveness of the driver by measuring his headpose, drowsiness, and facial expression using an ensemble of deep learning and traditional CV methods.

dual-fisheye-video-stitching

Dual fisheye video stitching

facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

gabor-convolutional-networks

@article{GaborCNNs, title={Gabor Convolutional Networks}, author={Luan, Shangzhen and chen, chen and Zhang, Baochang* and han, jungong and Liu, Jianzhuang}, year={2018}, IEEE Trans. Image processing. }

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

image-processing-from-scratch

This project contains some interesting image processing algorithms that were wrote in python from scratch.

interview

Interview = 简历指南 + LeetCode + Kaggle

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！