fitrialif Goto Github PK

licence-plate-recognition

licence_detector

Licence plate detection and recognition

license-plate-detection

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

license-plate-recognition

License Plate Recognition For Car With Python And OpenCV

license-plate-recognition-nigerian-vehicles

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

license-plate-recognition-system

Developed a License Plate Recognition system using Python & OpenCV. It uses KNN algorithm to recognize the alphabets and digits of normalized font. Modules used numpy, cv2, os. The program takes an image of the license plate as input, Converts it to gray-scale giving a threshold of the image and finally extracts the plate area.

licenseplatedetector

Detects license plate of car and recognizes its characters

licenseplaterecognition

An automated system for car license plate detection and recognition

line-following-robot

A line following robot using a Raspberry Pi and OpenCV

linear-svm-on-top-of-cnn-example

Simple example showing how to use intermediate CNN layer activations as feature vectors for training a linear SVM, to create a custom image classifier

lipnet

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

lipreading-in-the-wild-experiments

My experiments in lip reading using deep learning with the LRW dataset

lisa_emotiw

Challenge de reco d'émotions sur les visages.

local_binary_patterns

Local Binary Patterns implementation using Python3 and OpenCV

localatt_emorecog

A Pytorch implementation of 'AUTOMATIC SPEECH EMOTION RECOGNITION USING RECURRENT NEURAL NETWORKS WITH LOCAL ATTENTION'

lstm-ctc-ocr

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-kth

A recurrent deep neural network for human activity recognition, using the KTH dataset as anexample.

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

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

lstm_stock_prediction

This is an LSTM stock prediction using Tensorflow with Keras on top.

lstm_time_series

Use LTSM (RNN) to model airline traffic as a time series and forecast with 36 month horizon

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

m2-libraries

macchina.io

macchina.io is a toolkit for building IoT device applications in JavaScript and C++

machine-learning

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

machine-learning-1

This repository contains all the Machine Learning Models, I have worked up. These models are part of Self Learning course using Python Programming. Please checkout my blog http://www.exampleshub.com for more such Machine Learning Examples.

machine-learning-capstone-project

Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.