Pinned Repositories
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
Knet.jl
Koç University deep learning framework.
xmlrpc-light
Automatically exported from code.google.com/p/xmlrpc-light
turiya's Repositories
turiya/Knet.jl
Koç University deep learning framework.
turiya/xmlrpc-light
Automatically exported from code.google.com/p/xmlrpc-light
turiya/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
turiya/BayesInference
MATH5960 stuff
turiya/boosting
Fast implementation of Gradient Boosting Machine (GBM) training algorithm.
turiya/camleon
Automatically exported from code.google.com/p/camleon
turiya/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
turiya/flask
A microframework based on Werkzeug, Jinja2 and good intentions
turiya/gappproxy
Automatically exported from code.google.com/p/gappproxy
turiya/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.
turiya/Kalman-as-Recursive-Bayesian-Estimation
The Kalman filters as a recursive bayesian estimator. From histogram filters to Kalman
turiya/keyczar
Automatically exported from code.google.com/p/keyczar
turiya/lstm-kalman-hybrid-timeseries
Hybrid Time Series using LSTM and Kalman Filtering
turiya/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
turiya/lstmkf_ICCV2017
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
turiya/matrixprofile-ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
turiya/ocaml-extlib
Automatically exported from code.google.com/p/ocaml-extlib
turiya/ooauth
Automatically exported from code.google.com/p/ooauth
turiya/ovt
Automatically exported from code.google.com/p/ovt
turiya/particles
Sequential Monte Carlo in python
turiya/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 ;)
turiya/pyfilter
Bayesian filtering in general state-space models
turiya/pyParticleEst
Python Library for Particle based estimation methods
turiya/pyparty
Drawing and analyzing particles on images
turiya/rapidleech
Automatically exported from code.google.com/p/rapidleech
turiya/shadowsocks
turiya/stumpy
STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks
turiya/ThinkBayes
Jupyter Notebooks derived from Allen Downey's book Think Bayes.
turiya/toy-auto-diff
Toy implementation of automatic differentiation
turiya/xmllint
Automatically exported from code.google.com/p/xmllint