Hoang NT's Projects
Dataset and pytorch loaders for graphs
Implementations for some of the most popular graph embedding algorithms
Graph Homomorphism Convolution (ICML'20)
Graph kernels
Weekly reading group on Graphs at Mila
An efficient python module for analysis and manipulation of graphs.
Certifiable Robustness to Graph Perturbations
Representation learning on large graphs using stochastic graph convolutions.
Nice APIs for common optimization tasks
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Analysis of heart rate data
Graph learning via homomorphism
Homomorphism Counting Algorithm
Having fun with weird data and weird concept using Tensorflow
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
High Performance Scientific Computing
Basic RT components and utilities to control robots using OpenRTM
Create agents that monitor and act on your behalf. Your agents are standing by!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Differentiable, Hardware Accelerated, Molecular Dynamics
A Graph Neural Network Library in Jax
Implementation of k-means, k-means++ and the novel k-mcmc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
🧪 Organize Machine Learning Experiments
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
Online courses' projects and assignments
My p5.js projects
♞ lichess.org: the forever free, adless and open source chess server ♞
Python package for causal discovery based on LiNGAM.