a python framework to build, learn and reason about probabilistic circuits and tensor networks

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

Software platform for Thermodynamic Sampling Units - probabilistic computing emulator

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

A problemset for uncertainty quantification and knowledge injection into reinforcement learning and active inference agents

Bayesian Deep Learning in PyTorch

headquarters of the April team in Edinburgh

Bayesian Optimization

Probabilistic modeling of high-dimensional binary data in JAX

Seminar in Probabilistic Machine Learning

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

Clean Random Events for Probabilistic Reasoning in Python

Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.

Fully and Partially Bayesian Neural Nets

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

Multi-fidelity probability machine learning

List of casual implementations of machine learning models from scratch.

Machine Learning Code as per my understanding

The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".