Alternatives and similar repositories for autogluon

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

• optuna / optuna
  A hyperparameter optimization framework
  ☆12,108Updated this week
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,921Updated 2 weeks ago
• wandb / wandb
  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
  ☆9,968Updated this week
• microsoft / FLAML
  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
  ☆4,151Updated 2 weeks ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,450Updated last year
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,346Updated last month
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,970Updated last month
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,856Updated 4 months ago
• triton-inference-server / server
  The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  ☆9,332Updated this week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,457Updated last week
• microsoft / nni
  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…
  ☆14,202Updated 11 months ago
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,239Updated 5 months ago
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,330Updated this week
• cleanlab / cleanlab
  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
  ☆10,588Updated last week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,047Updated last month
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,972Updated last week
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,679Updated 3 weeks ago
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,759Updated this week
• unit8co / darts
  A python library for user-friendly forecasting and anomaly detection on time series.
  ☆8,661Updated last week
• HarisIqbal88 / PlotNeuralNet
  Latex code for making neural networks diagrams
  ☆23,493Updated last year
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,256Updated last week
• lutzroeder / netron
  Visualizer for neural network, deep learning and machine learning models
  ☆30,414Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,431Updated 2 weeks ago
• pytorch / serve
  Serve, optimize and scale PyTorch models in production
  ☆4,334Updated this week
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,612Updated this week
• sktime / sktime
  A unified framework for machine learning with time series
  ☆9,070Updated last week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,611Updated this week
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,104Updated 5 months ago
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,261Updated last week
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆32,480Updated this week