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Projects

Open-source code and earlier research. Everything else is on GitHub.

Selected code

• Causal Analysis Tutorial End-to-end Python workshop on causal discovery and Double Machine Learning, built with Causica, LiNGAM and EconML. Also the materials for the Women in Data Science workshop.
  Code
• Diffusion Models implementation in PyTorch Modular implementation for MNIST, Fashion-MNIST and CIFAR-10, with experiments on diffusion length, variance schedules, loss functions and training stability, evaluated by FID and Inception Score.
  CodeVideo

Other repositories

• Probabilistic Generative Models Educational implementations of probabilistic generative models.
  Code
• Neural network from scratch Multilayer network with backpropagation written without a framework.
  Code

Earlier research and coursework

• Identify frames in the Tweets of US politicians · 2021
• Improving robustness of neural networks against adversarial attacks · 2019
• Modeling ecological populations: game theory · 2019
• Memory based multi-tasking A3C agent · 2018
• A hierarchical approach to multi-tasking in reinforcement learning · 2018
• Weather data summarizer using encoder-decoder networks · 2018
• Word embeddings for native languages · 2018
• Team Anveshak, University Rover Challenge · 2017