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advancedml

Reading list for the Advanced Machine Learning Course

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

apollo

An open autonomous driving platform

awesome-lane-detection

A paper list of lane detection.

bht-arima

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

bi-attrition-prediction

kaggle员工离职率预测 score:0.84857

burrow

A Distributed Cache Library for Golang

carnd-advanced-lane-lines

cnc_remastered_collection

codelife

Code My Life

computer-science-live-open-course

疫情中，各大学以及论坛都是线上课程以及讲座。本仓库旨在集合计算机与信息方面的免费好讲座以及好课程集合清单（主要是疫情期间的），包括人工智能方面，爬虫，通信，控制等。使资源能物尽其用分享给更多人，欢迎大家提交issue。

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

darknet

Convolutional Neural Networks

deep-learning-for-image-processing

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

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dlib

A toolkit for making real world machine learning and data analysis applications in C++

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

example

Python Example

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework