BlueMatrix's repositories
sqair
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
ebm_code_release
Code for Implicit Generation and Generalization with Energy Based Models
FBNN
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Tensorflow-2.0-Quick-Start-Guide
Tensorflow 2.0 Quick Start Guide, published by Packt
btgym
Scalable, event-driven, deep-learning-friendly backtesting library
BayesianSpectralEstimation
Bayesian nonparametric spectral estimation
structured-gpflow
Gaussian process models with structured inputs based on GPflow
sketch_rnn_keras
Keras implementation of Sketch RNN
Dynamic_generator
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
nssm-gp
Non-stationary spectral mixture kernels implemented in GPflow
keras-adversarial-autoencoders
Experiments with Adversarial Autoencoders using Keras
IHGP
Infinite-horizon Gaussian processes
pytorch-CoopNets
pytorch implementation for CoopNet
differential-dgp
Implementation of stochastic variational inference for differentially deep gaussian processes
DeepCGP
Deep convolutional gaussian processes.
pymanopt
Python toolbox for optimization on manifolds with support for automatic differentiation
geomstats
Computations and statistics on manifolds with geometric structures.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
CoopNets
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
PR-SSM
Python implementation of the PR-SSM.
numerical-linear-algebra-v2
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
wae
Wasserstein Auto-Encoders
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).
resources
PyMC3 educational resources
drl-portfolio-management
CSCI 599 deep learning and its applications final project
probrnn
State space modeling with recurrent neural networks