jaggbow

Chunk-GFN

Code for Action abstractions for amortized sampling, published at ICLR 2025

CrossViVit

This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context"

creative-writing

This repository contains notebooks that attempt to apply computer science and AI techniques to english creative writing.

DLMI_Challenge

This repository contains our solution for the Kaggle Challenge "Classification of Lymphocytosis from Blood Cells" as part of the joint course "Deep Learning in Medical Imaging" at the MVA Master and CentraleSupélec.

jaggbow.github.io

magnet

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

saf

This repository contains code for the paper "Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning". https://arxiv.org/abs/2210.03022

single-view-metrology-python

Python implementation of Single View Metrology using numpy and opencv

torch-gan

Torch implementation of a vanilla GAN network that operates on MNIST dataset.

deepkoopman

jaggbow/magnet

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

jaggbow/saf

This repository contains code for the paper "Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning". https://arxiv.org/abs/2210.03022

jaggbow/single-view-metrology-python

Python implementation of Single View Metrology using numpy and opencv

jaggbow/torch-gan

Torch implementation of a vanilla GAN network that operates on MNIST dataset.

jaggbow/creative-writing

This repository contains notebooks that attempt to apply computer science and AI techniques to english creative writing.

jaggbow/DLMI_Challenge

This repository contains our solution for the Kaggle Challenge "Classification of Lymphocytosis from Blood Cells" as part of the joint course "Deep Learning in Medical Imaging" at the MVA Master and CentraleSupélec.

jaggbow/jaggbow.github.io