Innixma / autogluon-benchmarkingLinks
Benchmarking Utilities for AutoGluon
☆20Updated 3 years ago
Alternatives and similar repositories for autogluon-benchmarking
Users that are interested in autogluon-benchmarking are comparing it to the libraries listed below
Sorting:
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 2 years ago
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆43Updated 6 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 5 years ago
- ☆71Updated 4 years ago
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- General Interpretability Package☆58Updated 2 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- A deep learning framework for building multimodal multi-task learning systems.☆111Updated 2 years ago
- collecting related resources of automated machine learning here☆54Updated 3 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 3 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- A Tree Search Library for Data Cleaning☆22Updated 3 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 4 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- ALMa (Active Learning Manager) Keeps track of labeled and unlabeled data for active learning☆42Updated 5 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Updated 4 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago