U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
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Updated
Nov 4, 2017 - Python
U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
Android App: TF Multi Classifier
Caffe implementation of Mobilenet-SSD face detector (NCS compatible)
Created a Deep Net Model for Image caption generation using LSTM, BLSTM, CNN and InceptionV3
implementation of some ml algorithms
A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling
Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D
RedHenLab project for GSoC 2021: Visual Recognition of Aztec Hieroglyphs.
A Artifitial Intelligent Securtiy system that detects humans using a camera and beeps an alarm .
This is an simple implementation of MobileNet for sign language digit prediction.
Uses Transfer Learning to create an advanced and more accurate Machine Learning model for classifying type of flowers in the flower dataset
using mobile Net
Control your android device with gestures with camera/computer vision
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)2018/02/08 Add the funtion of depth_multiplier
Fork of initial project, in order to use Webcam and Machine Learning instead of keyboard to drive the car.
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