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bayesian

Utility for Bayesian reasoning

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bayesinference

MATH5960 stuff

boosting

Fast implementation of Gradient Boosting Machine (GBM) training algorithm.

camleon

Automatically exported from code.google.com/p/camleon

czj

Open Repository

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

flask

A microframework based on Werkzeug, Jinja2 and good intentions

gappproxy

Automatically exported from code.google.com/p/gappproxy

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-as-recursive-bayesian-estimation

The Kalman filters as a recursive bayesian estimator. From histogram filters to Kalman

keyczar

Automatically exported from code.google.com/p/keyczar

knet.jl

Koç University deep learning framework.

lstm-kalman-hybrid-timeseries

Hybrid Time Series using LSTM and Kalman Filtering

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstmkf_iccv2017

Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization

matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

ocaml-extlib

Automatically exported from code.google.com/p/ocaml-extlib

ooauth

Automatically exported from code.google.com/p/ooauth

ovt

Automatically exported from code.google.com/p/ovt

particles

Sequential Monte Carlo in python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyfilter

Bayesian filtering in general state-space models

pyparticleest

Python Library for Particle based estimation methods

pyparty

Drawing and analyzing particles on images

rapidleech

Automatically exported from code.google.com/p/rapidleech

shadowsocks

stumpy

STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks

thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

toy-auto-diff

Toy implementation of automatic differentiation