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neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

ng_deep_learn

nimfa

nimfa - A Python module for nonnegative matrix factorization

nova

证券投资交易分析系统程序及文档资料

open_kdd_eval

kdd2018 evaluation code

pgmult

Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation

photo-mosaic

Photographic mosaic experiment in Clojure.

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

projpred

Projection predictive variable selection

protobuf

Protocol Buffers - Google's data interchange format

pypolyagamma

Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

pyqt5

PyQt 5.5 from riverbank

pyslds

quantlib

Quantlib学习研究

r-to-armadillo

Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)

recurrent-slds

Recurrent Switching Linear Dynamical Systems

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

relax

Optimizing control variates for black-box gradient estimation

robinhood

Unofficial Documentation of Robinhood Trade's Private API

rqesn

an implementation of quadratic echo state network using Eigen

seqlearn

Sequence learning toolkit for Python

snbvbs

Code for Scalable Bayesian Variable Selection for Negative Binomial Regression Models. See Miao et al. (2019), in Flexible Bayesian Regression Modelling, Yanan F. et al (Eds), Elsevier, to appear.

sparkadmm

Generic Implementation of Consensus ADMM over Spark

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

stat212b

Topics Course on Deep Learning UC Berkeley

stat525

Stat 525 Bayesian Analysis Course Notes

stat545

stein-variational-gradient-descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

stock-prediction

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

svae

code for Structured Variational Autoencoders