lahneh Goto Github PK

bosssensor

Hide screen when boss is approaching.

buspassengerpredict

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-science-study-paths-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

deeplearning

some small codes about deep learning

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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

face_recognize

Matlab PCA 人脸识别

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

fuzzy-recogonition-of-the-running-mode

汽车工况模糊识别。根据汽车行驶速度信息，提取'最大速度特征参数','平均速度特征','速度标准差','平均正加速度特征','平均负加速度特征'五种特征，基于模糊聚类法识别汽车运行模式。

gait-recognition

Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models

gbdt

A simple GBDT in Python

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

lstm-cnn-model-for-har

LSTM-CNN model for Human Activity Recognition

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

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-yearning-cn

CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

micropython-gy521

UNSTABLE - WIP !!! Micropython library to interface with GY521 (Invensense MPU-6050 6-axis accel+gyro)

ml

machine learning inaction

models

Models and examples built with TensorFlow

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

opencv-demo

This project contain some OpenCV demo that we use frequently.

parnmpc

A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)

rpflex

An AS Lib for manipulate face decorations and its example project rpmobile

scikit-learn

scikit-learn: machine learning in Python

serialprogram

svm

pattern recognization

tensorboard

TensorFlow's Visualization Toolkit