veyron's repositories
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
darts
Differentiable architecture search for convolutional and recurrent networks
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
DDPNAS
Dynamic Distribution Pruning for Efficient Network Architecture Search
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-Steganography
Hiding Images within other images using Deep Learning
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
ENAS-Tensorflow
Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user
go-common
哔哩哔哩 bilibili 网站后台工程 源码
MDENAS
Multinomial Distribution Learning for Effective Neural Architecture Search
mmdetection
Open MMLab Detection Toolbox and Benchmark
mmdetection_lqy
add mobilenet_v2_ssdlite
NAS-Projects
11 neural architecture search (NAS) algorithms implemented in PyTorch.
PNASNet.TF
TensorFlow implementation of PNASNet-5 on ImageNet
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch-Tutorial
Build your neural network easy and fast
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Self-Driving-Car-AI
A simple self-driving car AI python script using the deep Q-learning algorithm