awesome-ai
github.com/mrcieu/awesome-ai ↗Awesome list for all things AI, ML and deep learning
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GitHub Stars
57
Curated Resources
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4 hours ago
Last Refreshed
Topic: graph analyticsToolingTutorialsResearch papers / blog articlesAwesome lists
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me nlp resources from awesome-ai"
Installation instructions →What's inside
Awesome lists
- awesome-bertNLP
- awesome-community-detectionGraph theory
- awesome-decision-tree-papersAwesome papers
- awesome-deepbioAwesome papers
- awesome-deep-learningGeneral
- awesome-deep-learning-papersAwesome papers
Topic: graph analytics
Research papers / blog articles
- Bert2Tag: BERT key phrase taggingTransformer applications
- Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.NLP: methods
- Parikh, A.P., Täckström, O., Das, D. and Uszkoreit, J., 2016. A decomposable attention model for natural language inference. arXiv preprint arXiv:1606.01933.NLP: methods
- Searching for Answer Candidate Passages with Solr and AnseriniNLP: methods
- Subramanian et al., 2019. On extractive and abstractive neural document summarization with transformer language modelsNLP: methods
- The illustrated GPT-2 (Visulaizing Transformer Language Models)NLP: methods
Tooling
- cdlib: Community Discovery Library - (for networkx and igraph)graph
(for networkx and igraph)
- clocate.com; search conferencesweb resources
- dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.graph
- Embedding-Visgraph
- OpenNEgraph
Showing a sample of 57 resources. View the full list on GitHub →