Topics in the Python ecosystem

Tensorflow unsupervised learning to denoise images from the mnist digits dataset

Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring

Rafika Boutalbi's personal website

Automatic treatment effect estimation on ecological data with partial labelling

DL based representation learning of MS imaging data

Enhancing Multi-Class Fine-Grained Classification through Hard Sample Discrimination

PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning (submitted to ISBI 2025)

OhmNet: Representation learning in multi-layer graphs

One-Class Classification Ensembles with Unsupervised Representations to Detect Novelty

Source code for EvalNE, a Python library for evaluating Network Embedding methods. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000139

A course on representation learning for syntactic and semantic theory taught at the 2023 LSA Institute at UMass, Amherst.

Source code and supplementary material for DIRAC: Diffusion-Based Representation Learning for Modality-Agnostic Compositionality

PyTorch implementation of Combined Reinforcement Learning via Abstract Representations

Recurrent Detect-Infer-Repeat official repository

Representation Learning Basics and Feature Extraction in Text

Pytorch implementation of the NLP experiment described in the original contrastive predictive coding paper (2018)

Representation learning with Variational Autoencoders to Clusters Genes based on their Expression and Epigenetic Dynamics during Cardiac differentiation