The CQF resources and my learning records

pandas wrapper for Bloomberg Open API

Python toolkit for quantitative finance

Download market data from Yahoo! Finance's API

Computational geometry and spatial indexing on the sphere

lightweight, standalone C++ inference engine for Google's Gemma models.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Codes for Chandra, et al. (2021+). Escaping the curse of dimensionality in Bayesian model based clustering. Please refer to the original paper for details https://arxiv.org/abs/2006.02700

A package for Dirichlet Process mixture model clustering in Julia.

A list of Medical imaging datasets.

Coarsened Mixtures of Hierarchical Skew Kernels

Computing the prior number of clusters for Gibbs-type priors.

Build dirichletprocess objects for data analysis

Julia package for Bayesian mixture models

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Fusing of Localized Densities

An R package performing generalized Bayes clustering

Examples using c-posterior for robustness to misspecification

The machine learning toolkit for time series analysis in Python

Covid-19 tweets

Code for all experiments.

Python packaging and dependency management made easy

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

MATLAB Interface for Azure Services, supports KeyVault, Azure Blob & Azure Data Lake

A package for plotting maps in R with ggplot2

Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

A system for quickly generating training data with weak supervision