Utility for adding word wise information to non amazon books

programming assignments for cal tech machine learning class

Hidden Markov Model Part of Speech tagger project

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

The ultimate Vim configuration (vimrc)

Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment

C++ implementation for online variational inference for hierarchical dirichlet process

Implementation of various topic models

Notes from bayesian inference lectures.

Collapsed Variational Bayes

Efficient Dirichlet process clustering

This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neural Information Processing Systems, 2013. papers.nips.cc/pape…

Harold Soh's online temporal learning library imported from bitbucket mercurial

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

ROS package to control an autonomous RC vehicle based on Arduino and UDOO/Raspberry

Particle filter-based Gaussian process optimisation for parameter inference

A Tetris environment to train machine learning agents

An AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.

Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335

A Python implementation of global optimization with gaussian processes.

OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux Devices

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A Python package for time series classification

computer vision

Qualitative Spatial Relations library

Convenience wrapper for Infer.NET IronPython API and IronPython implementations examples