modular-diffusion VS GODEL

Compare modular-diffusion vs GODEL and see what are their differences.

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modular-diffusion GODEL
1 5
257 836
- 0.6%
8.0 3.4
7 months ago 5 months ago
Python Python
MIT License MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

modular-diffusion

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

GODEL

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

What are some alternatives?

When comparing modular-diffusion and GODEL you can also consider the following projects:

minimal-text-diffusion - A minimal implementation of diffusion models for text generation

DialoGPT - Large-scale pretraining for dialogue

rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Convoscope - AI tools to augment conversations on smart glasses, wearables, laptops, and smart meeting rooms.

DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

TalkToModel - TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

forte - Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/

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

mutate - A library to synthesize text datasets using Large Language Models (LLM)

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.