chao1981 Goto Github PK

-awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

-python-

All Algorithms implemented in Python

-pytorch-

深度学习原理与pytorch实战

10-steps-to-become-a-data-scientist

2019-01-03_10-steps-to-become-a-data-scientist

2018-cs109b

Harvard CS109b Public Repository

adaboostexample

Adaboost Example 20181008

advanced-lane-finding

Applied computer vision techniques to identify lane lines, vehicle position and radius of curvature from a video stream from a forward-facing camera mounted on the front of a vehicle.

ailearners

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

ailearning

AiLearning: 机器学习 - 非常好 20181108

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

analyze-ab-test-results

Udacity Data Analyst Nanodegree Project4 Analyze-AB-Test-Results

applied-deep-learning-with-tensorflow

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

artistic-style-transfer

Convolutional neural networks for artistic style transfer.

automated-feature-engineering

Automated feature engineering with Featuretools 这家伙还有好多好东西

awesome-machine-learning-1

Learning Resources And Links Of Machine Learning（updating）

awesome-python-applications

Open-source Python Great Projects-20181221

basic-statistics-with-python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

bayesian-statistics-econometrics

Bayesian Statistics-Econometrics

beauty-product-recommendation-engine

6 weeks project (including Fletcher)

blocks

A Theano framework for building and training neural networks

books

some books about code

breast-cancer-detection-using-cnn-dl-

breast cancer detection using cnn (DL) & apply model at web app

cadl

20190108 Creative Applications of Deep Learning w/ Tensorflow"

carnd-alexnet-feature-extraction

Using AlexNet and TensorFlow to build a feature extraction network.

carnd-camera-calibration

Images and notebook for camera calibration

carnd-lenet-lab

LeNet dwith TensorFlow

carnd-object-detection-lab

carnd-tensorflow-lab

TensorFlow Lab for Self-Driving Car ND

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chatbotcourse

自己动手做聊天机器人教程