Fetch trending ML/AI research papers with code from HuggingFace Daily Papers. Specify the number of papers and use caching for efficiency.
MIT
532,982 tools. Updated 2026-09-08 08:07
"A server for searching research papers, Kaggle datasets, and websites for ML/AI model training data" matching MCP tools:
- Find recent AI/ML research papers by searching arXiv, Papers with Code, and Hugging Face using keywords and date filters.MIT
- Validate and clean ML training datasets, then generate data cards and quality reports to ensure reliable model training.MIT
- Perform AI-powered web searches to extract structured data from search results for research, competitive analysis, and multi-source information gathering.MIT
- Submit a training job for a model version and monitor its status until TRAINING_COMPLETED or TRAINING_FAILED.MIT
- Retrieve training datasets in your account to locate dataset IDs and names for use in AI Toolkit configurations. Optionally returns full dataset payloads.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.6GPL 3.0
- AlicenseNot gradedqualityBmaintenanceProvides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.65Apache 2.0
Matching MCP Connectors
AI/ML research papers from arXiv, DBLP, and HuggingFace
The verified hub for conferences and journals. Powered by AI to match your scholarly ambitions with the world's most prestigious academic opportunities.
- Create a dataset type vocabulary term to classify datasets by their role in ML workflows, enabling consistent categorization and retrieval.Apache 2.0
- Initialize an ML workflow run by creating an execution record, linking input datasets and assets for provenance tracking. Supports dry-run mode for testing without catalog writes.Apache 2.0
- Create an empty training dataset in draft status, ready for file uploads and status polling before submitting a training job.MIT
- Queue an AI Toolkit training job (typically LoRA) by supplying a YAML config and GPU type/count. Returns once the job is queued; use status/result tools to monitor and retrieve outputs.MITDestructive
- Extracts colors, typography, components, and layout from UI design images for machine learning training. Privacy-friendly, no image storage.MIT
- Search the web for current information, news, articles, and websites to find up-to-date content, research topics, or answer questions about recent events.Apache 2.0
- Retrieve datasets from LangSmith with filtering options for IDs, names, data types, and metadata to organize and access training data.MIT
- Retrieve AI-generated answers by searching your namespace of text documents or using direct AI model calls for question answering.Apache 2.0
- Import pre-computed signals, ML features, labels, or regime tags from a JSON file into AlgoChains for ML training. Supports entry/exit signals, feature vectors, classification labels, and regime classifications.MIT
- Find academic papers and preprints on SSRN for social sciences, economics, law, finance, and humanities research.Apache 2.0
- Search academic papers and preprints on arXiv to find research papers, scientific studies, and technical literature across fields like AI, physics, and mathematics.Apache 2.0
- Check a dataset's readiness for training by retrieving its status and successfully uploaded files. Only READY datasets can be mounted by training jobs.MIT
- Download specific training datasets from CrowdCent prediction challenges to a specified .parquet file path for model training and analysis.MIT
- Manage ML training jobs: check prerequisites, start LoRA fine-tuning, monitor progress, cancel runs, list adapters, and view statistics.MIT
- Extract structured financial data from investor relations websites and online sources for investment research when APIs are unavailable.MIT