Open Source
I have contributed to many of the core Python packages for AI
Hugging Face
A leading library for natural language processing (NLP) with state-of-the-art transformer models.
PROJECT
DESCRIPTION
ROLE
🤗 Optimum is an extension of 🤗 Transformers
and Diffusers, providing a set of optimization
tools enabling maximum efficiency to train
and run models on targeted hardware, while
keeping things easy to use.
Contributor
This framework provides an easy method to compute dense vector representations for sentences, paragraphs, and images.
Contributor
(in progress)
TensorFlow
An open-source platform for machine learning and deep learning, offering a comprehensive ecosystem for model building and deployment.
PROJECT
DESCRIPTION
ROLE
Keras
A user-friendly, high-level neural networks API for building and training deep learning models.
PROJECT
DESCRIPTION
ROLE
Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow,
and PyTorch.
Contributor
Scikit-Learn
A robust library for machine learning in Python, providing simple and efficient tools for data mining and data analysis.
PROJECT
DESCRIPTION
ROLE
Vowpal Wabbit
A fast, scalable, and flexible system for online learning and large data
PROJECT
DESCRIPTION
ROLE
Vowpal Wabbit is a machine learning system
which pushes the frontier of machine learning
with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Contributor
R
A programming language and environment designed for advanced statistical computing, machine learning, and predictive modeling.
PROJECT
DESCRIPTION
ROLE
Automated cross-validation for time-series models, particularly those created by the forecast and caret packages.
Author
Methods and tools for displaying and analyzing univariate time series forecasts including exponential smoothing via state space
models and automatic ARIMA modelling.
Contributor