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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

pierrecounathe's Projects

deep-rl-class icon deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

droughts-forecasting icon droughts-forecasting

Predicting droughts with a 6-weeks lead time with a lstm, using weather data, soil data.

financial-time-series-generation-frequency-gans icon financial-time-series-generation-frequency-gans

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 discriminator allows for better replication of autocorrelation patterns.

gym-routing icon gym-routing

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

gymnasium icon gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

real-estate-pricing-optimization-under-financial-constraints icon real-estate-pricing-optimization-under-financial-constraints

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 for RE assets, to time-on-market or time-to-sell prediction given a price, to price optimization.

reinforcement-learning-for-nim-game icon reinforcement-learning-for-nim-game

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 observable and with much reduced state and action spaces compared to chess, it is the perfect game to code a Q-Learning RL agent from scratch.

simple-implementations icon simple-implementations

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

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