liuqaz8274 Goto Github PK

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。加入seqGAN版本。

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-python-notebooks

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

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

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

fcm_granularcomp

DRA in 2018Fall. Granular Computing in data analysis based on Fuzzy C-mean Clustering

fe4ml-zh

:book: [译] 面向机器学习的特征工程

hnu-idg-fd-code

The intelligent fault diagnosis methods of HNU IDG

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

latex

learn

lintcode

Java Solutions to problems on LintCode/LeetCode

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

makeyourownneuralnetwork

《python神经网络编程》实现。An implementation of neural network.

metaheuristics

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

microgrid

微电网能量管理系统

pygrc

A set of methods about granular computing which is realized by python 3

python

All Algorithms implemented in Python

rl-intro-book-chinese

Chinese Translation for Book 《Reinforcement Learning- An Introduction》-Second Edition

scenario-forecasts-gan

Research code

short-term-load-forecasting-for-electric-power-systems

windml

The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml_lstm-

LSTM-EFG for wind power forecasting based on sequential correlation features