Automatic extraction of relevant features from time series:

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Create delightful software with Jupyter Notebooks

Data augmentation for NLP

A high performance implementation of HDBSCAN clustering.

Training PyTorch models with differential privacy

Early stopping for PyTorch

Code for YouTube series: Deep Learning for Audio Classification

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

A Multipurpose Library for Synthetic Time Series Generation in Python

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

emoji2vec: Learning Emoji Representations from their Description

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Deep Markov Models

Deploy stable diffusion model with onnx/tenorrt + tritonserver

Freesound Audio Tagging 2019