Alternatives and similar repositories for AutoMLLecture:

Users that are interested in AutoMLLecture are comparing it to the libraries listed below

• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆98Updated 8 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 5 months ago
• tunguz / TabularBenchmarks
  ☆199Updated this week
• automl / DEHB
  ☆79Updated 2 weeks ago
• FasterAI-Labs / fasterai
  FasterAI: Prune and Distill your models with FastAI and PyTorch
  ☆248Updated last month
• rasbt / stat451-machine-learning-fs21
  ☆149Updated 3 years ago
• dcai-course / dcai-lab
  Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻
  ☆453Updated 2 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated this week
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆76Updated this week
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆176Updated 4 years ago
• fmsnew / nas-bench-nlp-release
  ☆28Updated 11 months ago
• pyhopper / pyhopper
  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.
  ☆86Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆85Updated 2 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆65Updated 4 years ago
• cleanlab / label-errors
  🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
  ☆184Updated 2 years ago
• AwesomeLemon / ENCAS
  NAS + Cascades | Best Paper @ GECCO 2022
  ☆16Updated last year
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 8 months ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆86Updated 2 years ago
• naszilla / tabzilla
  ☆154Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆143Updated 10 months ago
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆241Updated 2 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆263Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated 10 months ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• LeoGrin / tabular-benchmark
  ☆478Updated 8 months ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated last month
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆429Updated this week