bwengals's Stars
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
deepcharles/ruptures
ruptures: change point detection in Python
mattjj/autodidact
A pedagogical implementation of Autograd
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
GPflow/GPflowOpt
Bayesian Optimization using GPflow
MaxBenChrist/awesome_time_series_in_python
This curated list contains python packages for time series analysis
dfm/george
Fast and flexible Gaussian Process regression in Python
pymc-devs/pymc4
Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
joshspeagle/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
CamDavidsonPilon/lifelines
Survival analysis in Python
robi56/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
lindermanlab/ssm
Bayesian learning and inference for state space models
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
crflynn/stochastic
Generate realizations of stochastic processes in python.
thespianpy/Thespian
Python Actor concurrency library
python-streamz/streamz
Real-time stream processing for python
faif/python-patterns
A collection of design patterns/idioms in Python
luke14free/pm-prophet
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
stripe/rainier
Bayesian inference in Scala.
nashory/gans-awesome-applications
Curated list of awesome GAN applications and demo
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
ColCarroll/imcmc
Image Markov Chain Monte Carlo
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
k-woodruff/bdt-tutorial
Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.
t-vi/candlegp
Gaussian Processes in Pytorch
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
EntilZha/PyFunctional
Python library for creating data pipelines with chain functional programming