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bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bot-consolidator

draft design of web-bot that consolidate (connect) information between different sources of data

bower

A package manager for the web

britecharts

Client-side reusable Charting Library based on D3.js v5 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.

browser-sync

Keep multiple browsers & devices in sync when building websites. http://browsersync.io

browserify

browser-side require() the node.js way

bt

bt - flexible backtesting for Python

bulk-data

User Guides for XML on the govinfo Bulk Data Repository

caak

Code as a Kapital That gets Labour as its composite to generate consumable value

cachetools

Extensible memoizing collections and decorators

cachier

Persistent, stale-free, local and cross-machine caching for Python functions.

campaign-finance-and-lobbying

Literatures on revelation of connections between campaign finance and lobbying

candidates-for-styleguide-react

candidates for UI components in isolation for React

captain

tracks distribution and flow of every different component of economy - actor, market, money, phisikas and non phisikas in world-level

captum

Model interpretability and understanding for PyTorch

carbon-tutorial

An app for the Carbon Design System tutorial

cartpl

cartpl DQ

cartpole

OpenAI's cartpole env solver.

casper

The default personal blogging theme for Ghost

categorical-bandit

implementation of categorical bandit

categorical-reparameterization-with-gumbel-softmax

Visual proof of Gumbel-Softmax distribution approximating categorical distribution

categorized-bandits

catt

causal-discovery

Literature related to causal discovery

causal-discovery-ts

causal-discovery over multivariate time series data

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalgraphicalmodels

Causal Graphical Models in Python

causallib

A Python package for modular causal inference analysis and model evaluations

causalmbrl

Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning