Pinned Repositories
Fourier-Transform-Library
Fourier Transform Library (MATLAB interface based on C++ implementation): DFT 1d, DFT 2d, FFT 1d, FFT 2d, DCT 2d, JPEG (without lossless compression), fast polynomial multiplication, fast integer multiplication, etc.
GraphFlow
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
Handwriting-Recognition
Continuous (free-style, cursive) and separated (character by character) optical character recognition. Algorithms: Neural Network (Multilayer Perceptron) and Dynamic Programming to find the word with maximum probability.
InvariantGraphNetworks-PyTorch
A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipman https://openreview.net/forum?id=Syx72jC9tm. The official TensorFlow implementation is at https://github.com/Haggaim/InvariantGraphNetworks.
Knight-Tour-Neural-Network
Knight's Tour problem (circle and route) solved by Neural Network and Back Tracking algorithm with Warnsdorf's rule heuristics. Language: C++. Visualization: Java.
MGVAE
Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
MLP-Java
Multi-Layer Perceptron (Feed-Forward Artificial Neural Network) Library in Java. Support: Stochastic and batch learning, Sigmoid activation function and learning through Back-propagation
Neural-Nets-Compression
Neural Networks Compression (Multi-Layer Perceptron, Softmax, Autoencoder) by SVD, Sparsification, KMeans quantization and Fourier transformation
Neural-Network-MNIST-CPP
Neural Network implementation in C++ running for MNIST database.
RobotSoccer
Multi-object tracking by Kalman filter (random acceleration model) and Hungarian matching algorithm in bipartite graph
HyTruongSon's Repositories
HyTruongSon/GraphFlow
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
HyTruongSon/MGVAE
Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
HyTruongSon/InvariantGraphNetworks-PyTorch
A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipman https://openreview.net/forum?id=Syx72jC9tm. The official TensorFlow implementation is at https://github.com/Haggaim/InvariantGraphNetworks.
HyTruongSon/Fourier-Transform-Library
Fourier Transform Library (MATLAB interface based on C++ implementation): DFT 1d, DFT 2d, FFT 1d, FFT 2d, DCT 2d, JPEG (without lossless compression), fast polynomial multiplication, fast integer multiplication, etc.
HyTruongSon/Neural-Nets-Compression
Neural Networks Compression (Multi-Layer Perceptron, Softmax, Autoencoder) by SVD, Sparsification, KMeans quantization and Fourier transformation
HyTruongSon/RobotSoccer
Multi-object tracking by Kalman filter (random acceleration model) and Hungarian matching algorithm in bipartite graph
HyTruongSon/HyChat-1.0
HyChat version 1.0: Multi-threaded (Multi-user) chatting program in Java with Socket programming
HyTruongSon/ISU-CS-685
ISU CS 685 - Software Project (Fall 2023)
HyTruongSon/Label-Propagation
Label Propagation, Maximum Flow / Minimum Cut on the Karate Network
HyTruongSon/Learning-Sparse-Graphical-Models
HyTruongSon/LibCCNs
Covariant Compositional Networks Library is an easy-to-use and efficient implementation of Covariant Compositional Networks (CCNs) with TensorFlow and PyTorch's APIs based on a shared common C++ core.
HyTruongSon/May-2019-Reading
ICLR 2019 papers
HyTruongSon/PCA-Eigenface
Principal Component Analysis and Eigenface (Eigenvector computation) for Facial Reconstruction / Recognition
HyTruongSon/PCA-MNIST
Principal Component Analysis (Eigenface) and K-Nearest Neighbor Classification for MNIST database
HyTruongSon/PPM
Library to read PPM image file - Java Netbeans project with GUI
HyTruongSon/Advanced-OS-Final-Presentation
Advanced Operating Systems - Final Project Presentation
HyTruongSon/Advanced-OS-Final-Report
Final Report - Advanced Operating Systems
HyTruongSon/Dirichlet_Process
Dirichlet Process and Latent Dirichlet Allocation
HyTruongSon/dk-series
Application of dK-series into molecular energy regression. Reference: "Systematic Topology Analysis and Generation Using Degree Correlations". ACM SIGCOMM, September 2006.
HyTruongSon/Fractal
Julia Set and Mandelbrot Set - Java (with GUI) - NetBeans project
HyTruongSon/Gaussian-Elimination
Gaussian (Gauss-Jordan) elimination algorithm to solve system of linear equations, find inverse and compute determinant
HyTruongSon/HySonLab.github.io
HySonLab
HyTruongSon/MLG19
15th International Workshop on Mining and Learning with Graphs
HyTruongSon/Molecular-Clustering
Molecular Clustering - Final Project - TTIC 31220 - Unsupervised Learning and Data Analysis
HyTruongSon/Page_Rank
Simple implementation of Page Rank (using eigen-decomposition (LU Cholesky), or the power method)
HyTruongSon/Posters
Posters
HyTruongSon/Resume
HyTruongSon/risi_contraction
Testing contraction operations in C++/CUDA GraphFlow deep learning framework vs PyTorch
HyTruongSon/Spambase-filtering
Spambase filtering by Multi-layer Perceptron (Neural network), Logistic regression, Linear SVM and RBF SVM
HyTruongSon/spectral_perm_synch
Permutation synchronization by spectral method