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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

ailearn

A lightweight package for artificial intelligence

bert

TensorFlow code and pre-trained models for BERT

chinese-number-gestures-recognition

基于卷积神经网络的数字手势识别安卓APP，识别数字手势0-10（The number gestures recognition Android APP based on convolutional neural network(CNN), which can recognize the gestures corresponding number 0 to 10）

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

convexhull

Graham扫描法寻找凸包/Graham's scan for Convex Hull

cosine_similarity

calculate the cosine similarity

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deepinterestnetwork

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15个章节，近20万字。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

deepst

Deep Learning for Spatio-Temporal Data

derivation-of-lda-series-formula

LDA系列公式推导（吉布斯采样，Gibbs Sampling）

dien

dl_tutorials

Deep learning tutorials (2nd ed.)

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

geneticalgorithmsrepo

Genetic Algorithm Packages for Python.

house

有完整版的PDF下载。

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jemdoc

Light text markup for creating websites

machine-learning

personal practice,个人练习项目，包括：在ID3的基础上增加了可视化决策树、实现了weka中text转arff格式

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

margin-softmax

keras sparse implement of margin-softmax

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

ntudm

price-prediction-and-recommendation-of-second-hand-housing-in-shanghai

基于postgresql+机器学习库MadLib的上海地区二手房价格预测及推荐）

pu-learning

Positive and unlabeled learning wrappers for scikit-learn

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models