Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge. Learn more →
Top 23 Python hyperparameter-optimization Projects
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.Project mention: Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models | news.ycombinator.com | 2023-08-11
Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.Project mention: which book to chose for deep learning :lan Goodfellow or francois chollet | /r/learnmachinelearning | 2023-04-07
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: Filter Pruning for PyTorch | /r/deeplearning | 2023-04-13
A hyperparameter optimization frameworkProject mention: FOSS hyperparameter optimization framework to automate hyperparameter search | news.ycombinator.com | 2023-08-10
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.Project mention: Northlight makes Alan Wake 2 shine | news.ycombinator.com | 2023-11-07
Automated Machine Learning with scikit-learn
AutoGluon: AutoML for Image, Text, Time Series, and Tabular DataProject mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
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MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycleProject mention: Any MLOps platform you use? | /r/selfhosted | 2023-02-25
If you're not concerned about self-hosting, WandB is one of the more fully featured training monitoring tools (I've used it in the past without any issues but the lack of data and training privacy and lack of self-hosting possibilities makes it a hard no for anything that isn't scholastic). Polyaxon is an alternative but rewriting all your variable logging to conform to their requirements makes it very difficult to switch to it in the middle of a project so you have to commit to it from the get-go.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic DocumentationProject mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
A Hyperparameter Tuning Library for Keras
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:
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.Project mention: [N] Google Open Sources Vizier, Hyperparameter + Blackbox Optimization Service at Scale | /r/MachineLearning | 2023-02-03
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.Project mention: Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3 | news.ycombinator.com | 2023-04-11
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Automated modeling and machine learning framework FEDOT
Examples for https://github.com/optuna/optuna
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Streamlining reinforcement learning with RLOpsProject mention: [P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework | /r/MachineLearning | 2023-10-15
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
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Python hyperparameter-optimization related posts
Exploring Methods to Improve Text Chunking in RAG Models (and other things...)
1 project | /r/GPT3 | 22 Oct 2023
Cubic Spline Interpolation
1 project | news.ycombinator.com | 22 Oct 2023
Hyperactive Version 4.5 Released
1 project | news.ycombinator.com | 27 Aug 2023
FOSS hyperparameter optimization framework to automate hyperparameter search
1 project | news.ycombinator.com | 10 Aug 2023
[P] Deterministic Objective Bayesian Analysis for Spatial Models
1 project | /r/MachineLearning | 15 May 2023
Show HN: Deterministic objective Bayesian inference for spatial models [pdf]
1 project | news.ycombinator.com | 10 May 2023
Filter Pruning for PyTorch
1 project | /r/deeplearning | 13 Apr 2023
A note from our sponsor - InfluxDB
www.influxdata.com | 6 Dec 2023
What are some of the best open-source hyperparameter-optimization projects in Python? This list will help you: