Multimodal-Toolkit VS DPL

Compare Multimodal-Toolkit vs DPL and see what are their differences.

Multimodal-Toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data (by georgian-io)

DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks. (by releaunifreiburg)
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Multimodal-Toolkit DPL
2 1
553 11
1.8% -
7.6 5.6
about 2 months ago 6 months 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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Multimodal-Toolkit

Posts with mentions or reviews of Multimodal-Toolkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-31.

DPL

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

What are some alternatives?

When comparing Multimodal-Toolkit and DPL you can also consider the following projects:

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

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).

transformers - 🀗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

SDGym - Benchmarking synthetic data generation methods.

autogluon - Fast and Accurate ML in 3 Lines of Code

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

Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

tapnet - Tracking Any Point (TAP)

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]

multimodal - TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

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