Teaching
Tutorials
Long-form notes on theory, probability, optimization, language, and deep learning.
Intrinsic Dimension Estimation
Tensorized and parallelizable pytorch implementation of the algorithm for intrinsic dimension estimation.
Generating Random Variables and Stochastic Processes, Generative Flow Networks (GFlowNets)
Practical tutorial about GFlowNets, MCMC, Metropolis-Hasting, Gibbs sampling, and related stochastic simulation methods.
Pre-train and Fine-tune a Language Model with 🤗 Transformers
My tutorial on how to pre-train a causal and masked language model with the Hugging Face transformers library.
Word embeddings
My original tutorial on word embeddings, from Bag of Words and TF-IDF to Word2Vec and GloVe.