anh-nn01

AI-Lunar-Lander-TF-v1

A Reinforcement Learning AI Agent that use Deep Q Network to play Lunar Lander

ConvNet-Activation-Visualization

Convolutional Neural Network has proven its impressive effectiveness in Deep Learning, especially Computer Vision. It remarkably reduces the complexity in many Computer Vision tasks and make complex tasks possible, such as Real-time Object Detection. Inspired by the curiousity why it works so well, many prominent research scientists have conducted research to get a better understanding of what Convolutional Neural Network actually does. This project provides a source code which allow everyone examine and visualize the activations in different convnet layers themselves to develop a better understanding and intuition about Convolutional Neural Network.

Endoscopy-Super-Resolution

Super Resolution models for Gastric Endoscopic Images (Medical Imaging)

Lunar-Lander-Double-Deep-Q-Networks

An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe

Neural-Network-from-Scratch--Hand-written-Digits-classifier

This is my first Deep Learning project, which is a MNIST hand-written digits classifier. The model is implemented completely from scratch WITHOUT using any prebuilt optimization like Tensorflow or Pytorch. Tensorflow is imported only to load the MNIST data set. This model also uses 2 hidden layers with Adaptive Moment Optimization (Adam) and Drop-out regularization.

Neural-Style-Transfer

Apply Gram matrix and pretrained VGG19 Convolutional Neural Network to analyze and draw a picture in given artistic styles.

RL4Suspension-ICMLA23

Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control (IEEE ICMLA 2023)

Satellite-Imagery-to-Map-Translation-using-Pix2Pix-GAN-framework

PyTorch Implementation of Pix2Pix framework to train a U-Net with Generative Adversarial Network to map Satellite Imagery to an equivalent Map.

Simple-Art-Generator-using-VGG19-Convolutional-Neural-Network

Web-app-Gastroscopic-Lesion-Classifier

A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.

anh-nn01/Satellite-Imagery-to-Map-Translation-using-Pix2Pix-GAN-framework

PyTorch Implementation of Pix2Pix framework to train a U-Net with Generative Adversarial Network to map Satellite Imagery to an equivalent Map.

anh-nn01/Lunar-Lander-Double-Deep-Q-Networks

An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe

anh-nn01/Neural-Network-from-Scratch--Hand-written-Digits-classifier

This is my first Deep Learning project, which is a MNIST hand-written digits classifier. The model is implemented completely from scratch WITHOUT using any prebuilt optimization like Tensorflow or Pytorch. Tensorflow is imported only to load the MNIST data set. This model also uses 2 hidden layers with Adaptive Moment Optimization (Adam) and Drop-out regularization.

anh-nn01/Neural-Style-Transfer

Apply Gram matrix and pretrained VGG19 Convolutional Neural Network to analyze and draw a picture in given artistic styles.

anh-nn01/Simple-Art-Generator-using-VGG19-Convolutional-Neural-Network

anh-nn01/ConvNet-Activation-Visualization

Convolutional Neural Network has proven its impressive effectiveness in Deep Learning, especially Computer Vision. It remarkably reduces the complexity in many Computer Vision tasks and make complex tasks possible, such as Real-time Object Detection. Inspired by the curiousity why it works so well, many prominent research scientists have conducted research to get a better understanding of what Convolutional Neural Network actually does. This project provides a source code which allow everyone examine and visualize the activations in different convnet layers themselves to develop a better understanding and intuition about Convolutional Neural Network.

anh-nn01/RL4Suspension-ICMLA23

Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control (IEEE ICMLA 2023)

anh-nn01/Endoscopy-Super-Resolution

Super Resolution models for Gastric Endoscopic Images (Medical Imaging)

anh-nn01/Web-app-Gastroscopic-Lesion-Classifier

A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.

anh-nn01/AI-Lunar-Lander-TF-v1

A Reinforcement Learning AI Agent that use Deep Q Network to play Lunar Lander

anh-nn01/Deep-Convolution-Generative-Adverserial-Network--DCGAN

PyTorch implementation of the original GAN algorithm from scratch.

anh-nn01/Driver-Drowsiness-Alert-System

A simple algorithm to detect drowsiness of the drivers developed using OpenCV pretrained Haar Cascades to help prevent potential accidents.

anh-nn01/LeetCode-Corona-Month-Day-17

A simple but fun problem from Leetcode amid Corona outbreak :))

anh-nn01/jetson-inference

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

anh-nn01/anh-nn01

anh-nn01/awesome-ai-residency

List of AI Residency Programs

anh-nn01/Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

anh-nn01/Experiments

Notebooks and code for experimental purpose

anh-nn01/homework1-CS320

anh-nn01/hw5_kaggle_fiction_data

Just small txt dataset from Kaggle for training small GPT-2

anh-nn01/jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

anh-nn01/NICER_background_estimation

Two-stage ML framework for NICER background estimation (spectra & light curve)

anh-nn01/OmniGibson

OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx

anh-nn01/p0

CMSC398T

anh-nn01/p1

Project 1 - CMSC 389T

anh-nn01/pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

anh-nn01/Spring23-CMSC330-2a

Spring23-CMSC330-2a

anh-nn01/SRGAN

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

anh-nn01/TestRepo

anh-nn01/web-template

p1-template