Python code for "Probabilistic Machine learning" book by Kevin Murphy
-
Updated
Mar 15, 2023 - Jupyter Notebook
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Telegram Group Manager Bot Written In Python Using Pyrogram.
A framework for hydrodynamics explorations and prototyping
Pyro 5 - Python remote objects for modern python versions
Functional tensors for probabilistic programming
ASR with PyTorch
PyMC3-like Interface for Pyro
Invariant representation learning from imaging and spectral data
Bayesian optimization of discrete sequences
Deep Probabilistic Programming Examples in Pytorch using pyro
Colab notebooks exploring different Machine Learning topics.
A Telegram Bot That Can Find Lyrics Of Song
Implementation of a Mixture Density Network in the deep probabilistic programming language Pyro.
Bayesian deep learning experiments
Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)
Add a description, image, and links to the pyro topic page so that developers can more easily learn about it.
To associate your repository with the pyro topic, visit your repo's landing page and select "manage topics."