Bayesian Optimization and Design of Experiments

Lightweight library for scraping web-sites with LLMs

R&D playground to play with agents and OpenBB

Investment Research for Everyone, Everywhere.

BayesOpt + LIFT

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Utilities for Dask and CUDA interactions

Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

R Interface to Leaflet Maps

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

Grapheme to phoneme conversion with deep learning.

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

PyTorch CTC Decoder bindings

Our maintained PFN repository. Come here to train SOTA PFNs.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.

Open-source scientific and technical publishing system built on Pandoc.

Multiplatform plotting library based on the Grammar of Graphics

MLX: An array framework for Apple silicon

Data and Codes for GroceryDB

Ray Data Connector for Snowflake

Brain Dynamics Programming in Python

Loopy belief propagation for factor graphs on discrete variables in JAX

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

A tutorial for setting a new machine with core data science tools