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asl-using-cnn

American Sign Language Recognition used to convert sign language image to respective character using tensorflow, keras, flask .etc

autonomous-car-vision

Object and lane detection for autonomous cars. Using TensorFlow Object Detection API and OpenCV.

balder

Tensorflow Object Detection Helper Script

cnnpluslstm

Based on http://aqibsaeed.github.io/2016-11-04-human-activity-recognition-cnn/ and lstm

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

freemiumlibrary

A library that should help you to use a freemium model within your android application (no ads and/or extra features if you pay)

human-activity-recognition

human-activity-recognition-using-cnn

CNN for Human Activity Recognition in Tensorflow

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.

labelbox

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications.

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model

lesson-classification-mlflow

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier

machine-learning

mhealthapp

Open source exemplary mHealth APP created using mHealthDroid

mhealthdroid

[DEPRECATED] An open-source mobile framework for rapid development of mHealth and biomedical applications

ode-nonmaximumsuppression

nonMaximumSuppression method for removing multiple bounding boxes to only one when do object detection

pdt

Detection and Tracking of Pallets using a Faster R-CNN based on a 2D LRF

ps1-group-c8-files

Important files/docs for PS1

python-for-android

Turn your Python application into an Android APK

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

road_lane_line_detection

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

sign-language-gesture-recognition

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

sign-language-recognition

:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python

sign-language-recognition-with-tensorflow

In this project, we will build an algorithm using the Deep learning framework "TensorFlow" to recognize numbers from 0 to 5 created with our fingers, and so we want here to facilitate the communication between a speech_impered person and someone who doesn't understand sign language

sl-tf_sgd

Basic Stochastic Gradient Descent in Tensorflow implementation

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-for-mobileapplications

Tests to migrate image recognition models into Android & IOS application framework

tensorflow-on-android-for-human-activity-recognition-with-lstms

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android