donato-maragno

donato-maragno's Stars

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.6k1k

• RiVuss/LLMsForOptimizationModelling

  Business Analytics Thesis Project

  Language:Jupyter Notebook4

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python19.2k1.5k

• wouterkool/attention-learn-to-route

  Attention based model for learning to solve different routing problems

  Language:Jupyter Notebook1.1k342

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown301k28.2k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.3k5.7k

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k173

• hwiberg/OptiCL

  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

  Language:Jupyter Notebook11118

• reactive-python/reactpy

  It's React, but in Python

  Language:Python7.8k316

• locuslab/icnn

  Input Convex Neural Networks

  Language:Python27451

• Gurobi/gurobi-machinelearning

  Formulate trained predictors in Gurobi models

  Language:Python20241

• tabearoeber/CE-OCL

  Language:Jupyter Notebook31

• Analytics-for-a-Better-World/GPBP_Analytics_Tools

  Geospatial Planning and Budgeting Platform

  Language:Jupyter Notebook45

• IBM/doframework

  A Testing Framework for Decision-Optimization Model Learning Algorithms

  Language:Jupyter Notebook41

• INFORMSJoC/2020.1023

  Language:Python102

• Primer-Learning/PrimerToolsUnity

  Tool used for producing Primer YouTube videos

  Language:C#68073

• charmlab/mace

  Model Agnostic Counterfactual Explanations

  Language:Python8611

• ustunb/actionable-recourse

  python tools to check recourse in linear classification

  Language:Python7418

• interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Language:Python1.3k185

• nmundru/scr

  Sparse Convex Regression

  6

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k102

• uber/orbit

  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

  Language:Python1.9k132

• process-intelligence-research/ReLU_ANN_MILP

  With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.

  Language:Python566