amita-kapoor Goto Github PK

carnd-unscented-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

cloud-hopfield-neural-network

commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

course-content

Summer course content for Neuromatch Academy

course-content-dl

covid-19

COVID-19 Italia - Monitoraggio situazione

covid-19-india-data

data and code for wrangling and cleaning day to day data on covid-19 in India

covid-2020

Analyze COVID data

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cs231n

deep-crf

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

deep-learning-for-computer-vision-with-python-and-keras-tensorflow-2.0-

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepaudioclassification

Finding the genre of a song with Deep Learning

deepbench

Benchmarking Deep Learning operations on different hardware

deepeyecontrol

Using your eyes to trigger shortcuts on your computer

designing-models-for-responsible-ai

Designing Models for Responsible AI

dog-project

AIND Term 2 -- CNN Project

drl-tutorial

Deep Reinforcement Learning Tutorial Site for PLDI 2019

facerecognition

fantastic-machine-learning

🎰 A curated list of machine learning resources, preferably CoreML

finance_and_covid_tracking_dashboard

gcp-kubeflow-mnist

genetic-cnn

CNN architecture exploration using Genetic Algorithm

going-up-full-speed

The world's simplest facial recognition api for Python and the command line

hands-on-artificial-intelligence-for-iot

Hands-On Artificial Intelligence for IoT, published by Packt

image-processing-and-feature-detection

Image Processing and feature detection are the two most important areas of research in Computer Vision. In our one year project we successfully implemented various techniques and coding schemes that deal with Image Processing and Feature Detection of both still images and live video. We started with converting raw images to usable forms like grayscale, plots. We performed various mathematical operations on the image transforms like blurring (Gaussian Transform), sharpening etc. We learned to perform weighted addition of images. On both still images and live video features like face, eyes, smile, upper/lower body and full body have been detected. In this project, we used Haar Classifier to detect human face and eyes. We also employed the use of support vector machines to successfully identify human upper/lower and full body. The work can be extended to pedestrian detection in case of self-driving cars.

introdeeplearning

iot-jumpway-intel-examples

Get started with the Internet of Things with Intel® technologies and the TechBubble IoT JumpWay PaaS.

machine-learning

Workshop on Machine Learning in Python