U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping

Torch implementation of MobileNet

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

用于switch的自动化机器人脚本

Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D

Implements mobilenet and GANs

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

Coding Neural Network architectures using PyTorch

Control your android device with gestures with camera/computer vision

# AGRO BRAIN AI - Crop Disease Prediction ## Project Overview **AGRO BRAIN AI** is an advanced crop disease prediction system leveraging deep learning techniques to help farmers and agricultural professionals detect and manage crop diseases effectively. By utilizing state-of-the-art models and deploying them on accessible platforms, this project

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)2018/02/08 Add the funtion of depth_multiplier