RNA-seq quantification pipeline used by the eQTL Catalogue

Exploring emerging segmentation abilities of SwinIA models

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

Teaching materials and tutorials for the bioinformatics course thought at the University of Tartu

Deep Reinforcement Learning for de-novo Drug Design

Code complementing our manuscript on the prediction of chemical reaction yields (https://iopscience.iop.org/article/10.1088/2632-2153/abc81d) and data augmentation strategies (https://doi.org/10.26…

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

PyTorch implementations of deep reinforcement learning algorithms and environments

Exploring Neural Text Simplification

Deep learning models trained to correct input errors in short, message-like text

Deep Learning for humans