A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Competitive Physics Informed Networks

An Open Source Machine Learning Framework for Everyone

High-performance TensorFlow library for quantitative finance.

Kernel Density Estimation in Python

Information Theoretic Measures of Entropy and Divergence

Lightweight, useful implementation of conformal prediction on real data.

Python implementation of the conformal prediction framework.

A collection of pre-trained, state-of-the-art models in the ONNX format

Core module of the Mupen64Plus project

self-driving MarioKart with TensorFlow

A C++ library to compute the Wigner 3j- and 6j- symbols (with FORTRAN backend).

Exact Clebsch–Gordan coefficients and Wigner 3-jm, 6-j, and 9-j symbols in Rust.

Interactive Markov-chain Monte Carlo Javascript demos