Code and attachments for our clean code course (https://acad.link/clean-code)

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace…

Shows how to use a Lambda function to store data in an RDS instance

This repository is for the Linkedin Learning course: JavaScript Essential Training

ESP32-CAM streaming to Android and processing AI tasks on Android

vizgradcam is the fastest way to visualize GradCAM with your Keras models.

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

DeepLab v3+ model in PyTorch. Support different backbones.

A short exploration of semi-supervised learning for image classification from the Kaggle retinal disease detection dataset. Also - gradCAM heatmaps for visualizing model activation.

YOLOv3 implementation in TensorFlow 2.3.1

Multi-Object Tracking via DeepSORT

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Android app to detect and record motion using the camera2 API

Colab notebooks from Algorithms for Massive Data course at University of Milan

Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

Lab materials for the Full Stack Deep Learning Course

PyTorch Tutorial for Deep Learning Researchers

Datasets, Transforms and Models specific to Computer Vision

Android Multi-Camera sample app with Camera2 API. Two physical cameras are simultaneously controlled with one virtual camera.

Web UI for running/managing/monitoring of ML jobs

Retina blood vessel segmentation with a convolutional neural network

Deep learning based retinal vessel segmentation for fluorescein angiography retinal images, IEEE Trans. Image Processing, 2020

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

A curated list of awesome Machine Learning frameworks, libraries and software.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.