Pinned Repositories
Basic-Deep-Learning
(Written in Vienamese). A summary of some basic theory about Deep Learning: Artificial Neural Network, Backpropagation and Basic Convolutional Neural Network.
Basic-ML
Bottle-checking
My team's final project during Computer Vision classes
Convolutional-Neural-Network
Summary of some CNN architectures/networks: VGG16, VGG19, ResNet50 and their applications in Image Classification.
Dogs-and-Cats-Classifier
Dogs and Cats Classification using Deep Learning
Fruits-Classification
Fruit Classification using Deep Learning, with an API created by using Flask, HTML/CSS/JS. Available on Docker.
Image-Processing-with-Matlab
My small repository about Maltab's application in Image Processing
Image-Super-Resolution
Graduation Thesis
LZW-Technique
Final Project in the course "Digital Image Processing"
Unsupervised-Learning
A summary of some unsupervised learning techniques
luke-dinh's Repositories
luke-dinh/Dogs-and-Cats-Classifier
Dogs and Cats Classification using Deep Learning
luke-dinh/Fruits-Classification
Fruit Classification using Deep Learning, with an API created by using Flask, HTML/CSS/JS. Available on Docker.
luke-dinh/Convolutional-Neural-Network
Summary of some CNN architectures/networks: VGG16, VGG19, ResNet50 and their applications in Image Classification.
luke-dinh/Graph-in-Deep-Learning
Some of my knowledge about Graph Data and Graph Neural Network
luke-dinh/Image-Super-Resolution
Graduation Thesis
luke-dinh/Unsupervised-Learning
A summary of some unsupervised learning techniques
luke-dinh/3D-Machine-Learning
A resource repository for 3D machine learning
luke-dinh/assignment
luke-dinh/Audio-Processing
luke-dinh/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
luke-dinh/Deep-Learning-API
Deploying a fully Deep Learning project using Flask-Python.
luke-dinh/Image-Captioning
Image Captioning using Deep Learning
luke-dinh/image_similarity
PyTorch Blog Post On Image Similarity Search
luke-dinh/iSeeBetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
luke-dinh/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
luke-dinh/luke-dinh
luke-dinh/luke-dinh.github.io
Cayman Blog is a Jekyll theme for GitHub Pages, based on Cayman theme
luke-dinh/ML-Model-Serving
Demo Deploying ML Models using Docker and Kubernetes
luke-dinh/MLOps
luke-dinh/My-Blog
Creating a blog using Flask in Python
luke-dinh/Neural-Style-Transfer
Using deep learning to compose images in the style of another image
luke-dinh/Object-Detection
Completed Implementation of Object Detection problem.
luke-dinh/Object-Detection-API
luke-dinh/PIFu
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
luke-dinh/pifuhd
High-Resolution 3D Human Digitization from A Single Image.
luke-dinh/pixel-nerf
PixelNeRF Official Repository (WIP)
luke-dinh/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
luke-dinh/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
luke-dinh/simple-chatbot
Simple chatbot using Llama-2 and RAG
luke-dinh/TecoGAN
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN