bappiparvez

bappi.github.io-

bappiparvez

GitHub profile

bappiparvez.github.io

Computer-Pointer-Controller-OpenVINO

Computer_Pointer_Controller

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Deploy-a-People-Counter-App-at-the-Edge

For this project, you’ll first find a useful person detection model and convert it to an Intermediate Representation for use with the Model Optimizer. Utilizing the Inference Engine, you'll use the model to perform inference on an input video, and extract useful data concerning the count of people in frame and how long they stay in frame. You'll send this information over MQTT, as well as sending the output frame, in order to view it from a separate UI server over a network.

iotcnn

IoT based Human Detection System with Neural Network Classifier

Pond-Oreille

Pond Oreille is the 1st problem of Practice coding with Java. Code Clinic is a series of courses that solve the same problems using different programming languages. It gives developers a chance to experiment with new platforms and compare their strengths. Here, Carlos Rivas takes you through six different challenges and provides an overview of his solutions in Java. Challenges cover topics such as statistical analysis, geolocation, facial recognition, and accessing peripheral devices. Each lesson provides practical skills, valuable design patterns, and code snippets you can use in your own projects.

bappiparvez/iotcnn

IoT based Human Detection System with Neural Network Classifier

bappiparvez/Pond-Oreille

Pond Oreille is the 1st problem of Practice coding with Java. Code Clinic is a series of courses that solve the same problems using different programming languages. It gives developers a chance to experiment with new platforms and compare their strengths. Here, Carlos Rivas takes you through six different challenges and provides an overview of his solutions in Java. Challenges cover topics such as statistical analysis, geolocation, facial recognition, and accessing peripheral devices. Each lesson provides practical skills, valuable design patterns, and code snippets you can use in your own projects.

bappiparvez/bappi.github.io-

bappiparvez/bappiparvez

GitHub profile

bappiparvez/bappiparvez.github.io

bappiparvez/Computer-Pointer-Controller-OpenVINO

bappiparvez/Computer_Pointer_Controller

bappiparvez/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

bappiparvez/DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

bappiparvez/Deploy-a-People-Counter-App-at-the-Edge

For this project, you’ll first find a useful person detection model and convert it to an Intermediate Representation for use with the Model Optimizer. Utilizing the Inference Engine, you'll use the model to perform inference on an input video, and extract useful data concerning the count of people in frame and how long they stay in frame. You'll send this information over MQTT, as well as sending the output frame, in order to view it from a separate UI server over a network.

bappiparvez/docker-python-deep-learning

A container for Deep Learning with Python 3

bappiparvez/fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

bappiparvez/fastbook

Draft of the fastai book

bappiparvez/JS-Fundamentals

Learning Fundamentals of JavaScript

bappiparvez/learn_Java

Basic Java Learning

bappiparvez/nd131-openvino-fundamentals-project-starter

bappiparvez/P1_People_Counter_App

This is my project commit from the Udacity Work Space

bappiparvez/PeopleCounterAppEdge

bappiparvez/private-ai

Repo for Udacity's Secure & Private AI course

bappiparvez/project-dog-classification

Udacity Dog Classifier project

bappiparvez/sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

bappiparvez/Udacity-DeepLearning-Nanodegree-Phase2

Out of ten thousand students in the Facebook PyTorch Scholarship Challenge, as one of the top 300 students from the first phase, PyTorch Scholarship Challenge from Facebook I have earned full scholarships to Udacity’s DLND program.

bappiparvez/Udacity-Intel-People-counter-app