novinsh

Novin Shahroudi's starred repositories

ohmyzsh

🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

Language:ShellMIT169758 2652 4732

awesome-public-datasets

A topic-centric list of HQ open datasets.

MIT58825 2269 113

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookMIT26431 1374 244

platform_frameworks_base

Language:JavaNOASSERTION10590 9050

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonAGPL-3.07954 286 22

pysc2

StarCraft II Learning Environment

Language:PythonApache-2.07794 352 275

lumen

The Laravel Lumen Framework.

Language:PHP7637 3330

mlpack

mlpack: a fast, header-only C++ machine learning library

Language:C++NOASSERTION4860 182 1604

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Language:PythonMIT2236 175 82

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Language:PythonMIT1738 33 32

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

Language:Jupyter Notebook823 46 6

playground

PlayGround: AI Research into Multi-Agent Learning.

Language:PythonApache-2.0762 27 111

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

Language:R718 58 23

openscope

openScope Air Traffic Control Simulator

Language:JavaScriptNOASSERTION608 35 1258

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Language:Jupyter Notebook555 32 2