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Top 23 Python Automl Projects
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.Project mention: TransformerXL + PPO Baseline + MemoryGym | reddit.com/r/reinforcementlearning | 2023-02-15
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.Project mention: Eva AI-Relational Database System | news.ycombinator.com | 2023-05-12
ONLYOFFICE Docs — document collaboration in your environment. Powerful document editing and collaboration in your app or environment. Ultimate security, API and 30+ ready connectors, SaaS or on-premises
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Ask HN: How to get back into AI? | news.ycombinator.com | 2022-12-10
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
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 | reddit.com/r/deeplearning | 2023-04-13
AutoML library for deep learning
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineeringProject mention: featuretools - perform automated feature engineering. | reddit.com/r/engineering_stuff | 2023-04-29
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
AutoGluon: AutoML for Image, Text, Time Series, and Tabular DataProject mention: pip install remyxai - easiest way to create custom vision models | reddit.com/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)
a delightful machine learning tool that allows you to train, test, and use models without writing code
Merlion: A Machine Learning Framework for Time Series IntelligenceProject mention: [podcast] Machine Learning for Time Series Intelligence | reddit.com/r/GradientFlow | 2022-08-25
Aadyot Bhatnagar, is a Senior Research Engineer at Salesforce, and co-creator of Merlion an open source framework for applying machine learning on time series data.
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.Project mention: What are some open-source ML pipeline managers that are easy to use? | reddit.com/r/mlops | 2023-05-03
A Hyperparameter Tuning Library for KerasProject mention: Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ? | reddit.com/r/learnmachinelearning | 2022-10-13
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic DocumentationProject mention: [P] Build data web apps in Jupyter Notebook with Python only | reddit.com/r/MachineLearning | 2023-02-15
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Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuningProject mention: [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history | reddit.com/r/MachineLearning | 2023-01-10
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller modelsProject mention: Can You Achieve GPU Performance When Running CNNs on a CPU? | reddit.com/r/computervision | 2023-04-08
Automated deep learning algorithms implemented in PyTorch.
MLBox is a powerful Automated Machine Learning python library.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.Project mention: I need help lol | reddit.com/r/AskStatistics | 2023-03-07
AutoViz: A Python library that automatically visualizes any dataset in just one line of code.
High-Performance Symbolic Regression in Python and JuliaProject mention: [D] Is there any research into using neural networks to discover classical algorithms? | reddit.com/r/MachineLearning | 2023-01-01
I first learned about it with PySR https://github.com/MilesCranmer/PySR, they have an arxiv paper with some use cases as well.
TODS: An Automated Time-series Outlier Detection SystemProject mention: Anomaly detection Algorithms | reddit.com/r/learnmachinelearning | 2023-03-07
Sounds that OP is looking for time series anomaly detection, not multivariate. Perhaps https://github.com/datamllab/tods is an option,
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationProject mention: [D]How to optimize an ANN? | reddit.com/r/MachineLearning | 2022-08-12
You can use Optuna, SMAC or hyperopt
Luminaire is a python package that provides ML driven solutions for monitoring time series data.Project mention: luminaire: NEW Data - star count:692.0 | reddit.com/r/algoprojects | 2023-03-25
EvalML is an AutoML library written in python.
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Python Automl related posts
How to Make a Gmail Bot with a persona using OpenAI GPT and MindsDB
1 project | dev.to | 2 May 2023
pip install remyxai - easiest way to create custom vision models
2 projects | reddit.com/r/computervision | 25 Apr 2023
Filter Pruning for PyTorch
1 project | reddit.com/r/deeplearning | 13 Apr 2023
Filter Pruning for PyTorch
1 project | reddit.com/r/computervision | 13 Apr 2023
GitHub - mindsdb/mindsdb: A low-code Machine Learning platform to help developers build #AI solutions
1 project | reddit.com/r/programming | 2 Apr 2023
luminaire: NEW Data - star count:692.0
1 project | reddit.com/r/algoprojects | 25 Mar 2023
luminaire: NEW Data - star count:692.0
1 project | reddit.com/r/algoprojects | 24 Mar 2023
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What are some of the best open-source Automl projects in Python? This list will help you: