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adialab-project-neural-models

implementation of neural network for adialab competition

attention-mechanism_distribution-regression

Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.

bbob_2009

Functions for the BBOB 2009 optimization challenge (https://coco.gforge.inria.fr/).

gp-dimensionality-reduction

code for GECCO 2022 paper: "On genetic programming representations and fitness functions for interpretable dimensionality reduction"

investment_analysis

automatically fetch value stocks and stocks with unusual option activity (pareto front of iv skew and vrp)

kernel_mean_embedding_distribution-regression

code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.

ml-research

Codebase for machine learning research in PyTorch.

morphing-rovers-esa

Code base for the morphing rovers challenge from the European Space Agency

multi-task-learning

Predicting continuous conflict intensity from visual video data.

multimodal_single_cell_integration

Code for the Neurips 2021 competition (https://openproblems.bio/neurips_2021/)

neural-network-tabular

research on neural network for tabular data

neural_net_blending

Transferring neurons/filters from one neural network to another, in a transfer learning setting. (research project currently ongoing)

neural_network_pruning

Implementation of several neural network pruning techniques (magnitude value weight, magnitude gradient weight, movement gradient/value, and at neuron level)

parallel_test

few examples with different ways to do parallelization in python

planetary_protection

European Space Agency's planetary protection challenge (https://kelvins.esa.int/planetary-defence/)

pynsgp

Multi-objective Genetic Programming by NSGA-II in Python

safe_crossover

code for the GECCO 2020 paper (https://dl.acm.org/doi/abs/10.1145/3377930.3390197)

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

statistical_projects

Collection of completed statistical project and analysis

transformer-mir

Implementation of the basic transformer head for multiple-instance-regression (MIR)

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ubiquant-kaggle-competition

code for the Ubiquant market prediction Kaggle competition. Top 1% rank: 20th out of 2893 teams.

vgg-transfer-learning