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Bringing Data Science to Port Operations
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Bringing Data Science to Port Operations
  • BlueCargo
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PierreCounathe/README.md

Hi there 👋

Here is a list of ongoing and past projects I've been working on during my free time.

Ongoing projects

  • gym-routing [rl, graphs]: Solving the Traveling Salesman Prolem with reinforcement-learning using gym and stable-baselines3 repo
  • simple-implementations [llm, computer-vision]: Implementing ML and DL concepts (Transformer, LoRA, NeRF) from scratch repo

Previous Projects

  • nim-rl [rl]: Using numpy only, training an agent to master the Nim Game repo
  • Frequency-GANs [gan]: Generate market-specific financial time series using GANs acting in the frequency domain repo
  • Droughts Forecasting [lstm]: Forecast droughts in the US with a 6-week lead time using weather time series and static soil data repo
  • Image Completion [gan]: This model can effectively replace a nose or an eye on faces, and fill missing parts of portraits repo
  • Dynamic Pricing Optimization [ml, optimization]: Optimize Real Estate prices dynamically to meet financial constraints and deadlines (loan repayment dates) and maximize revenues repo

Pinned Loading

  1. gym-routing gym-routing Public

    Gym-Routing offers a suite of Gymnasium environments tailored for training Reinforcement Learning (RL) agents to tackle various routing problems.

    Python

  2. simple-implementations simple-implementations Public

    This repository stores implementations of simple Machine Learning and Deep Learning concepts, with the only objective of better understanding them.

    Python

  3. Reinforcement-Learning-for-Nim-Game Reinforcement-Learning-for-Nim-Game Public

    The Nim game is a mathematical strategy game in which two players take turns removing sticks from distinct heaps. The player who removes the last stick loses. As a game in which states are fully ob…

    Python 1

  4. Financial-Time-Series-Generation-Frequency-GANs Financial-Time-Series-Generation-Frequency-GANs Public

    Generation of financial time series using GANs. From QuantGAN, TAGAN, and TTGAN, devised generators and discriminators acting in the frequency domain instead of the time domain. The time domain dis…

  5. Globally-and-Locally-Consistent-Image-Completion-Pytorch-Implementation Globally-and-Locally-Consistent-Image-Completion-Pytorch-Implementation Public

    Implementation of the Globally and Locally Consistent Image Completion paper (http://dx.doi.org/10.1145/3072959.3073659) in Pytorch

    Jupyter Notebook 2 2

  6. Real-Estate-Pricing-Optimization-Under-Financial-Constraints Real-Estate-Pricing-Optimization-Under-Financial-Constraints Public

    This repository contains a high-level description of a Pricing Optimization project in Real Estate (RE). The scope of this project ranges from data scraping, to single-point market value prediction…

    2