tianshi-yu

tianshi-yu's Stars

• zeromq/libzmq

  ZeroMQ core engine in C++, implements ZMTP/3.1

  Language:C++9.7k4101.9k2.4k

• zeromq/jeromq

  JeroMQ is a pure Java implementation of the ZeroMQ messaging library, offering high-performance asynchronous messaging for distributed or concurrent applications.

  Language:Java2.4k159501484

• zeromq/cppzmq

  Header-only C++ binding for libzmq

  Language:C++2k83315757

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python6971441105

• idleberg/Creative-Commons-Markdown

  Markdown-formatted Creative Commons licenses

  545198646

• openai/iaf

  Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

  Language:Python51718813132

• Meragon/Unity-WinForms

  A Windows Forms port for Unity3d

  Language:C#516425283

• webermarcolivier/statannot

  add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

  Language:Jupyter Notebook394105874

• offchan42/Unity3D-Python-Communication

  :zap: A very fast, simple, and general inter-process communication example between Unity3D C# and Python, using ZeroMQ

  Language:C#355162359

• freelunchtheorem/Conditional_Density_Estimation

  Package implementing various parametric and nonparametric methods for conditional density estimation

  Language:Python186111424

• izmailovpavel/flowgmm

  Language:Shell146101213

• PetraVidnerova/rbf_keras

  RBF layer for Keras

  Language:Python14381066

• ericsuh/dirichlet

  Dirichlet MLE python library

  Language:Python1137525

• jlucansky/Swiddler

  TCP/UDP debugging tool.

  Language:C#1125523

• sharpenb/Posterior-Network

  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

  Language:Jupyter Notebook742012

• PetraVidnerova/rbf_for_tf2

  RBF Layer for tf.keras using Tensorflow 2.0 (work in progress!)

  Language:Python473116

• citiususc/stac

  Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.

  Language:JavaScript323515

• fagg/matlab-zmq

  Language:MATLAB2693426

• tminka/fastfit

  Fastfit matlab toolbox

  Language:MATLAB25415

• axsaucedo/sparse

  The effects of sparse and group-feature regression models in portfolio optimization.

  Language:MATLAB235010

• kreutz-lab/Rcall

  R function interface for Matlab

  Language:MATLAB235114

• blt2114/CDE_with_BNF

  Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows

  Language:Python21316

• ipab-slmc/lwpr

  Locally Weighted Projection Regression

  Language:C197110

• smasuti/mcmc_gibbs

  MCMC simulation using Gibbs sampling.

  Language:MATLAB13100

• mrsalehi/stupid-simple-norm-flow

  Language:Jupyter Notebook11201

• Bollegala/SFA

  Spectral Feature Alignment

  Language:Python10212

• jsikyoon/tree-structured-group-lasso

  Python Implementation of Proximal Methods for Hierarchical Sparse Coding

  Language:Python10323

• carter-allen/BayesMSN

  R package for fitting Bayesian multivariate mixture models for skewed longitudinal data with intermittent missing observations

  Language:R2101