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notebooks

Google Cloud Datalab samples and documentation

nssm-gp

Non-stationary spectral mixture kernels implemented in GPflow

numerical-linear-algebra-v2

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

ordinal_tsf

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pr-ssm

Python implementation of the PR-SSM.

probml-notebooks

Notebooks for "Probabilistic Machine Learning" book

probrnn

State space modeling with recurrent neural networks

pybats

Bayesian time series forecasting and decision analysis

pyfolio

Portfolio and risk analytics in Python

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pyro

Deep universal probabilistic programming with Python and PyTorch

pyro-m5-starter-kit

Learn Pyro through the M5 forecasting competition

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-coopnets

pytorch implementation for CoopNet

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

pytrader

cryptocurrency trading robot

resources

PyMC3 educational resources

reversi-alpha-zero

Reversi reinforcement learning by AlphaGo Zero methods.

routingnetworks

sandbox

Pyro models and misc examples.

seq2seq

Sequence to Sequence Learning with Keras

sketch_rnn_keras

Keras implementation of Sketch RNN

slides

spectralgp

Code repo for "Function-Space Distributions over Kernels"

sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

state-spaces

Sequence Modeling with Structured State Spaces