Stochastic Gradient Markov Chain Monte Carlo in Julia
-
Updated
Apr 18, 2017 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Stochastic Gradient Markov Chain Monte Carlo in Julia
Trying my hand with Julia.
JuMP4DEA is a package for solving large-scale data envelopment analysis (DEA) problems
Artificial Neural Network
Run network speed tests from Julia.
Reinforcement learning in Julia. Solving OpenAI gym.
A Julia wrapper around the URL shortening service https://tinyurl.com/ 🔥
Never Fail Another Interview™
Dynamic load balancing in Julia.
A Julia Package for providing Multi Armed Bandit Experiments
Container type for convenient calculations with logspace probabilities
The unofficial Julia wrapper around Zomato's API 🔥
Example of building a Dockerized HTTP server that responds with JSON using Julia
Telegram bot that converts text to different Unicode script fonts written entirely in Julia
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012