Reinforcement Learning for the CartPole problem
I implement a Q-Table and a Deep Q-Network (DQN) to solve the CartPole problem
I implement a Q-Table and a Deep Q-Network (DQN) to solve the CartPole problem
Implemented a transformer and a RNN model to detect fake news in news articles
Implemented a 3D U-Net model using Monai framework to segment lung cancer
Implemented an encoder with distance loss to cluster RNA secondary structures
ResNet network to detect silos in satellite images, delivering a real-time, globally-operable prototype within 24 hours and using Grad-CAM for segmentation
Published in Accepted at Machine Learning for Structural Biology (MLSB) Workshop, NeurIPS, 2024
This preprint paper is about evaluating the impact of different relaxation strategies on variant structures for mutational binding affinity prediction, using ESM3 as an multimodal encoder.