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aipnd_image_classification

Udacity AI Programming with Python Nanodegree final project. This project uses pretrained Pytorch models to classify images of flowers. Multiclass, single label classification problem.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

car-license-plate-preprocessing

pre processing for OCR in license plates

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

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

girls-in-ai

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

image-classifier

Final Project of the Udacity AI Programming with Python Nanodegree

interview

Interview = 简历指南 + LeetCode + Kaggle

interviewfaq

面试常见问题总结

knn

1.电影分类

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

leetcode

Python & JAVA Solutions for Leetcode

leetcodepython

Leetcode Practice in Python

lintcodepython

lint code solution in Python

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning

讲解常见的机器学习算法

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

machinelearning_ng

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

my-tensorflow-tutorials

TensorFlow 学习笔记和分享

pj_nlp

该库是一个项目集，包括文本分类、多标签分类、细粒度情感分析、命名实体识别，以及部分数据集等

tensorflow-101

TensorFlow Tutorials

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-tutorial

Tensorflow tutorial from basic to hard