DPL VS autogluon

Compare DPL vs autogluon and see what are their differences.

DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks. (by releaunifreiburg)
Benchmark Computer Vision Deep Learning hpo hyperparameter-optimization hyperparameter-tuning large-language-models llm Machine Learning mlp Natural Language Processing power-laws scaling-laws tabular-data Transformer
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autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon] (by awslabs)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series

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DPL autogluon
1 19
12 5,088
- -
5.6 9.9
6 months ago over 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DPL

Posts with mentions or reviews of DPL. We have used some of these posts to build our list of alternatives and similar projects.

autogluon

Posts with mentions or reviews of autogluon. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DPL and autogluon you can also consider the following projects:

prompttools - Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

SDGym - Benchmarking synthetic data generation methods.

carefree-learn - Deep Learning ❤️ PyTorch

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch

tapnet - Tracking Any Point (TAP)

NaiveNASlib.jl - Relentless mutation!!

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

DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated

featuretools - An open source python library for automated feature engineering

DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

DPL vs prompttools autogluon vs mljar-supervised DPL vs SDGym autogluon vs carefree-learn DPL vs deeplake autogluon vs Auto-PyTorch DPL vs tapnet autogluon vs NaiveNASlib.jl DPL vs AgileRL autogluon vs DFSpot-Deepfake-Recognition autogluon vs featuretools autogluon vs DeepCriticalLearning