chaitjo/NTUOSS-MachineLearningWorkshop

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Created almost 7 years ago
Updated almost 7 years ago

chaitjo/NTUOSS-MachineLearningWorkshop

chaitjo

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Introductory Machine Learning workshop for NTU Open Source Society

efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Jupyter Notebook

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Jupyter Notebook

geometric-rna-design

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Jupyter Notebook

personalized-dialog

Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

markowitz-portfolio-optimization

Markowitz portfolio optimization on synthetic and real stocks

lstm-context-embeddings

Augmenting word embeddings with their surrounding context using bidirectional RNN

regression-stock-prediction

Predicting Google’s stock price using regression

gated-graph-transformers

Transformers are Graph Neural Networks!

learning-paradigms-for-tsp

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

auto-mate-for-tinder

Use Artificial Intelligence to find promiscuous Tinder matches

knowledge-graphs

Building Knowledge Graphs from Unstructured Text

Jupyter Notebook

structured-self-attention

Keras implementation of the Structured Self-Attentive Sentence Embedding model

flask-mongodb

A simple REST Api using Flask-Restful and MongoDB

working-women

Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)

Jupyter Notebook

music-library-ocd-fixer

Automatically fetch metadata for your music collection and rename files accordingly

mnist-cnn-autoencoder

Using deep CNNs and stacked autoencoders to classify images of digits from the MNIST dataset

Perceptron

Perceptron algorithm implemented from scratch

nn-classification-and-regression

Using deep neural networks for classification and regression problems

transformers-are-gnns

Velocity

A 2D lane-switching game made using the graphics.h C++ library

PreparedForU

A simple tool for university aspirants and students in Singapore to estimate and visualize their spending based on publicly available data