ronanmoynihan

ronanmoynihan's Stars

• emdgroup/baybe

  Bayesian Optimization and Design of Experiments

  Language:Python25441

• MatsuuraKentaro/Bayesian_Statistical_Modeling_with_Stan_R_and_Python

  Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

  Language:R12933

• bgstaal/multipleWindow3dScene

  A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage

  Language:JavaScript16.5k2.6k

• patrickloeber/snake-ai-pytorch

  Language:Python618398

• google-deepmind/neural_testbed

  Language:Jupyter Notebook19116

• uncertainty-toolbox/uncertainty-toolbox

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

  Language:Python1.8k129

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k557

• susanli2016/Machine-Learning-with-Python

  Python code for common Machine Learning Algorithms

  Language:Jupyter Notebook4.3k4.8k

• EmilienDupont/augmented-neural-odes

  Pytorch implementation of Augmented Neural ODEs :sunflower:

  Language:Jupyter Notebook52788

• facebook/Ax

  Adaptive Experimentation Platform

  Language:Python2.4k303

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3.1k393

• aloctavodia/BAP

  Bayesian Analysis with Python (Second Edition)

  Language:Jupyter Notebook646249

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k396

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.6k1.3k

• Mcompetitions/M4-methods

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

  Language:R738316

• mljs/xgboost

  A port of XGBoost to javascript with emscripten

  Language:C418

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.2k878

• HDI-Project/ATM

  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

  Language:Python525141

• mit-dci/lit

  Lightning Network node software

  Language:Go551119

• owocki/pytrader

  cryptocurrency trading robot

  Language:Python1.9k431

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.5k612

• pytorch/tnt

  A lightweight library for PyTorch training tools and utilities

  Language:Python1.7k268

• oxfordcontrol/Bayesian-Optimization

  Reference implementation of Optimistic Expected Improvement.

  Language:Python4810

• adebayoj/fairml

  Language:Python35974

• ajbrock/SMASH

  An experimental technique for efficiently exploring neural architectures.

  Language:Python48957

• buriburisuri/timeseries_gan

  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

  Language:Python291101

• ratschlab/RGAN

  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

  Language:Python640183

• tonybeltramelli/pix2code

  pix2code: Generating Code from a Graphical User Interface Screenshot

  Language:Python11.9k1.4k

• kentsommer/pytorch-value-iteration-networks

  Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

  Language:Python31862