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Salma Mayorquin PRO

salma-remyx

https://remyx.ai

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liked a dataset 27 days ago

nick007x/arxiv-papers

liked a model 28 days ago

google/embeddinggemma-300m

liked a dataset about 1 month ago

ResearchPulse/ResearchPulse-Bench

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Posts 19

Post

3309

We've built over 10K containerized reproductions of papers from arXiv!

Instead of spending all day trying to build an environment to test that new idea, just pull the Docker container from the Remyx registry.

And with Remyx, you can start experimenting faster by generating a test PR in your codebase based on the ideas found in your paper of choice.

Hub: https://hub.docker.com/u/remyxai
Remyx docs: https://docs.remyx.ai/resources/ideate
Coming soon, explore reproduced papers with AG2 + Remyx: https://github.com/ag2ai/ag2/pull/2141

Post

1034

The future is arriving too fast not to use programmatic discovery and replication.
Search arXiv → Execute in 30 seconds with pre-built Docker environments

Check out our latest integration with AG2 to accelerate your discovery loop.
As easy as:

from remyxai.client.search import SearchClient
from autogen.coding import RemyxCodeExecutor

# Search by topic
papers = SearchClient().search(
    "data synthesis strategies",
    has_docker=True,  # Only papers with pre-built environments
    limit=10
)

executor = RemyxCodeExecutor(arxiv_id=papers[0].arxiv_id)

remyx_executor.explore(
    goal="Run a test with my model remyxai/SpaceThinker-Qwen2.5VL-3B",
    interactive=False  # Automated exploration
)