About

I am a PhD student at McGill University and Mila, working on artificial intelligence inspired by plants under the supervision of Mark Lefsrud and Audrey Durand. Research is focused on plant behavior and plant signaling in controlled environments.

Current projects

GrowSpace

Growspace is a RL environment

Monitoring of Plant Electrical Signals

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yasmeenvh's Projects

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

biasly

NLP project detecting gender bias in text. The project is still ongoing as our team is trying to create an implicit gender bias data set. In this repository you will find the web scrapper, the front end, the data architecture as well as the NLP model which is ready to train. The library used was Keras, we are switching from word2vec with glove for our word embeddings.

data

CEA Open Data

deap

Distributed Evolutionary Algorithms in Python

growspace2real

sim2real for the growspace simulator

growspaceenv_baselines

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch_text_classifier

LSTM text classifier using pytorch

sharedtask_gap

shared task for the gender bias workshop @ ACL 2019

sutton_barto

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

tongue-twister

The goal of this project is to help people with speech impairments, this project was done at the AI4GOOD Hackathon. This project won the hackathon, the machine learning component of this project was the google API speech to text. Difficulties were battling with the auto correct function within the API.