Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

☄️ Node.js library to access IBM Watson services.

Classify images offline using Watson Visual Recognition and Core ML

UI.Vision: Open-Source RPA Software (formerly Kantu) - Modern Robotic Process Automation with Selenium IDE++

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Custom Object Detection with TensorFlow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

📷 Visual regression test tool.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Improving Generalization via Scalable Neighborhood Component Analysis

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

A mobile app that uses Watson Visual Recognition to provide nutritional analysis of captured food images.

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

Create an iOS phone application that sorts waste into three categories (landfill, recycling, compost) using a Watson Visual Recognition custom classifier

Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.

work in progress

🕶 Classify images offline using Watson Visual Recognition and Core ML.

Deep Understanding of Traffic Scenes for Autonomous Driving

CS231n Assignments Solutions - Spring 2020

Fire Alarm using Watson Visual Recognition This project is a how-to guide on using Watson Visual Recognition service to analyse an image and based on a trigger word then send a event command to IoT Device.In this example node-red is used to create an image upload form which sends the image to Watson Visual Recognition and trigger an iot device whenever fire is detected in the image.

Blue Cloud Mirror - IBM Cloud Technology Showcase

Node.js application that uses image preprocessing and tiling to add localized image recognition results using the Watson Visual Recognition service.

An iOS application written in Swift that uses Watson Visual Recognition

Speeding up the VR Identification process using the IoT Platform

Desafios e diversas soluções • Maratona Behind the Code 2020

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode.

Classify images as soon as you upload them in a database with serverless functions

improving generalization via scalable neighborhood component analysis