hyperparameter-tuning

Top 23 hyperparameter-tuning Open-Source Projects

  • nni

    An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • wandb

    🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

  • Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05

    Weights & Biases — The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • auto-sklearn

    Automated Machine Learning with scikit-learn

  • skypilot

    SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

  • Project mention: Ask HN: Most efficient way to fine-tune an LLM in 2024? | news.ycombinator.com | 2024-04-04
  • determined

    Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

  • Project mention: Open Source Advent Fun Wraps Up! | dev.to | 2024-01-05

    17. Determined AI | Github | tutorial

  • coursera-deep-learning-specialization

    Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  • Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2327.0 | /r/algoprojects | 2023-11-21
  • rl-baselines3-zoo

    A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  • Project mention: Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3) | /r/reinforcementlearning | 2023-06-27

    I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:

  • SaaSHub

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  • vizier

    Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

  • rl-baselines-zoo

    A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

  • SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  • evalml

    EvalML is an AutoML library written in python.

  • onepanel

    The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

  • OCTIS

    OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

  • AgileRL

    Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

  • Project mention: [P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework | /r/MachineLearning | 2023-10-15
  • syne-tune

    Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • Renate

    Library for automatic retraining and continual learning

  • Hypernets

    A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

  • sentence-classification

    Sentence Classifications with Neural Networks

  • MGO

    Purely functional genetic algorithms for multi-objective optimisation

  • tune

    An abstraction layer for parameter tuning (by fugue-project)

  • Project mention: tune: An abstraction layer for parameter tuning | /r/coolgithubprojects | 2023-05-07
  • mlr3hyperband

    Successive Halving and Hyperband in the mlr3 ecosystem

  • Project mention: How Do I Perform Hyperparameter Optimization for a Non-Toy Dataset in R Using mlr3hyperband? | /r/rprogramming | 2023-05-07

    that I want to use to train an XGBoost predictive model. Now under the example given by the mlr3hyperband documentation, the steps to perform hyperparameter optimization are as follows:

  • DPL

    [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks. (by releaunifreiburg)

  • Project mention: Power Laws for Hyperparameter Optimization [LLM application] | /r/deeplearning | 2023-06-14
  • SaaSHub

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

hyperparameter-tuning related posts

Index

What are some of the best open-source hyperparameter-tuning projects? This list will help you:

Project Stars
1 nni 13,742
2 wandb 8,211
3 auto-sklearn 7,403
4 skypilot 5,636
5 determined 2,861
6 coursera-deep-learning-specialization 2,693
7 rl-baselines3-zoo 1,786
8 vizier 1,173
9 rl-baselines-zoo 1,106
10 SMAC3 1,008
11 evalml 712
12 onepanel 696
13 OCTIS 685
14 AgileRL 493
15 syne-tune 363
16 mango 310
17 Renate 264
18 Hypernets 261
19 sentence-classification 235
20 MGO 71
21 tune 33
22 mlr3hyperband 18
23 DPL 11

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