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ChineseAddress_OCR

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

rosbook

Example code to accompany the book Programming Robots with ROS

bag2video

Convert images in a rosbag to a video

Udacity-Didi-Challenge-ROSBag-Reader

Reads and displays values and images in a ROSBag file

Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

pollen

Forecasting pollen counts with Pytorch

Multidimensional-LSTM-BitCoin-Time-Series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

CNN-LSTM-CTC-text-recognition

CNN and LSTM model for text recognition

Object_Detection_demo_LIVE

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

QuickInception

Quick Application about retraining the Google Inception v3 model

WasteSort

wasteZero

Uses Deep Learning to Sort Wastes into their Corresponding Trash Categories

nn_pred

Deep learning for time-series prediction. A generic neural network which takes in time series, and optimizes using sgd in real-time.

time_series_prediction

Time series prediction project for Information Retrieval and Data Mining(COMPGI15)

WindPowerPrediction

Wind-Power-Generation-with-Machine-Learning

Filters CSV files of wind sites and generates parameters and features used in predicting wind power using NumPy in Python. Evaluates performance of 7 different ML algorithms using Scikit-Learn and creates a visualization of the results using MatplotLib in Python.

windly

AI for predicting wind power from historical wind data and wind forecasts

wt-fdd

Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm

Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks

This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.

Host-Load-Prediction-with-LSTM

host load prediction with Long Short-Term Memory in cloud computing

traffic-prediction

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

worldline-wgt

A web app for displaying a forecast of my weight using an LSTM DL model trained on historical weight, calories, and physical activity data.

order-forecasting-lstm

Wind-Power-Forecasting

Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach

Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

LSTM_tsc

An LSTM for time-series classification

windrose

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)