Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Code samples used on cloud.google.com

NYU Deep Learning Spring 2020

Python code for common Machine Learning Algorithms

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Attention based model for learning to solve different routing problems

An NLP workshop about concrete solutions to real problems

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"

This is a tutorial for generating word embedding with genism word2vec model