A python package for decision-making algorithms
☆11Jul 8, 2025Updated last year
Alternatives and similar repositories for decision-making
Users that are interested in decision-making are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17May 30, 2018Updated 8 years ago
- The Python 3 library for Multi-Criteria Decision Analysis.☆13Jun 22, 2026Updated last month
- 基于Swin-Transformer改进_YOLOv7电力杆塔识别系统☆14Nov 27, 2023Updated 2 years ago
- Dataset created for the Power Line Insulators Inspection Detections☆10Jul 2, 2020Updated 6 years ago
- Collection of Python3 modules for working with outranking graphs☆10Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Jul 28, 2019Updated 7 years ago
- ☆10Jul 1, 2019Updated 7 years ago
- Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn☆12Dec 2, 2022Updated 3 years ago
- ☆10Apr 25, 2024Updated 2 years ago
- Desafio de programação para candidatos a vaga no time de desenvolvimento do Edools☆11Sep 27, 2019Updated 6 years ago
- Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform☆12Dec 31, 2018Updated 7 years ago
- Conditional Autoregressive Value-at-Risk: all flavors of CAViaR.☆10Jan 15, 2018Updated 8 years ago
- ☆13Dec 24, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Package to build Cases for Power Systems Modeling☆17Updated this week
- ☆12Aug 31, 2023Updated 2 years ago
- A full-replica MATLAB/Simulink dynamic model of the IEEE 39-bus power system, including dynamic models of conventional generation and dyn…☆12Jun 18, 2018Updated 8 years ago
- A package for uncovering comovements and clusters of financial time series with transfer entropy.☆10Mar 10, 2019Updated 7 years ago
- ☆11Jan 28, 2023Updated 3 years ago
- For temperature detection of insulators in Power System☆12Mar 13, 2019Updated 7 years ago
- This is a generic LaTeX template for dissertations (layout according to Imperial College London).☆15Jul 8, 2019Updated 7 years ago
- ☆10Jun 28, 2020Updated 6 years ago
- Efficient stochastic gradient descent algorithms for the estimation of generalized matrix factorization models in R.☆13Dec 15, 2025Updated 7 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Stock Price(Candlestick, Chart) Pattern Modeling(Detection)☆16Jun 18, 2026Updated last month
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆10Apr 18, 2022Updated 4 years ago
- Replication code for Addressing COVID-19 Outliers in BVARs with Stochastic Volatility“ by Carriero, Clark, Marcellino and Mertens (2021),…☆12Jan 2, 2023Updated 3 years ago
- Exploratory notebook . Techniques used: FFT, ARIMA, GARCH, Monte Carlo Simulations, fbprophet, LSTM, WaveNet.☆12Jul 11, 2022Updated 4 years ago
- Notes on papers in Natural Language Processing, Computational Linguistics, and the related sciences☆14Jul 21, 2026Updated 2 weeks ago
- A zipline-reloaded data provider bundle for Polygon.io☆13Sep 26, 2025Updated 10 months ago
- D-vine quantile regression☆11Dec 9, 2025Updated 8 months ago
- A columnar data container that can be compressed.☆19Nov 3, 2025Updated 9 months ago
- MongoDB with Pymongo Tutorial☆10Apr 19, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.☆16Apr 23, 2024Updated 2 years ago
- Vector wavelet coherence for multiple time series☆14Jan 8, 2021Updated 5 years ago
- ☆16Aug 19, 2019Updated 6 years ago
- reduced-gate convolutional LSTM model. This model is applied on PredNet which implemented by Lotter 2016.☆10Jan 13, 2019Updated 7 years ago
- A frontend boilerplate (for me) with Elm, TypeScript and webpack☆10Jun 10, 2020Updated 6 years ago
- Codes to replicate analysis in Baker & Gelbach (2020)☆11Apr 25, 2020Updated 6 years ago
- A set of Python client examples and utils for https://github.com/carla-simulator/carla☆12Dec 10, 2019Updated 6 years ago