Today's AI Research: Fastest-Growing Projects — September 13, 2026
Today's AI research space continues to see a surge of interest and activity across various domains, with projects focusing on automation, multimodal datasets, interactive learning experiences, and engineering courses. The top project this week is EvoMap/AutoResearch, which has seen significant growth in both stars and commits over the past month.
EvoMap/AutoResearch is an open-source AI/ML research platform that transforms ideas into paper-ready evidence through automated agents. With a Growth Score of 86.69 and 4,149 stars, this project appears to be growing rapidly due to its comprehensive approach in automating the entire research process from ideation to publication.
OpenAIoTLab/CUHK-X is a large-scale multimodal dataset designed for human action recognition, understanding, and reasoning, with applications in fields like robotics and healthcare. The project's Growth Score of 38.42 and steady stream of commits over the past month suggest that researchers are increasingly interested in its potential to enhance AI models' capabilities in understanding complex human behaviors.
NiluK/worldmodels101 offers a free interactive course on world models, covering prediction, latent dynamics, planning, and other key concepts in AI. With a Growth Score of 25.46 and 199 stars, the project's popularity is likely driven by its visual and engaging approach to teaching these complex topics.
Zorost/AI-Engineering-Lab provides a comprehensive, self-paced course covering Python, machine learning, LLMs, and more over 24 weeks. Its Growth Score of 19.72 and 303 stars indicate that developers are finding value in its practical approach to AI engineering education.
Kyky2347/ALTA is a research-only project focused on multi-agent public-market discovery using autonomous LLMs, with features for risk assessment and replayable evaluation. With a Growth Score of 18.82 and 343 stars, the ALTA project's growth likely reflects its innovative approach to integrating AI in financial market analysis.
MirroS-Lab/S-Space explores spatial workspace integration within multimodal models, aiming to enhance the understanding and application of space in AI systems. Its Growth Score of 17.43 and 217 stars suggest that researchers are interested in advancing the spatial aspects of model design for better performance in various applications.
Ventas319/microsoft-ai-livestream-slidevault is a repository containing slides and presentation decks from Microsoft's AI training sessions, serving as an educational resource for those looking to stay updated on the latest trends and techniques. With a Growth Score of 17.26 and 56 stars, its popularity likely stems from its utility in providing access to valuable training materials.
Jadense-ai/jadense-in-zotero is an AI research assistant designed specifically for Zotero, enhancing researchers' ability to manage citations and references efficiently. With a Growth Score of 13.50 and 66 stars, the project's growth likely reflects its usefulness in streamlining academic research workflows.
DEEP-JLU/Awesome-Graph-Engineering is a survey on graph engineering in the era of LLM agents, exploring how individual intelligence can be scaled to system-level intelligence. Its Growth Score of 11.06 and 321 stars indicate that there's growing interest among researchers in understanding the broader implications of AI systems.
Ppop123/ai-tools-radar is a locally-run repository tracking growth metrics for various AI tools, offering insights into real traffic, new product launches, and more. With a Growth Score of 10.18 and 126 stars, its rising popularity likely comes from the valuable intelligence it provides about emerging trends in the AI tool ecosystem.
These projects highlight the diversity and depth of innovation within the AI research community, covering everything from automation to educational resources and specialized datasets.
EvoMap/AutoResearch is an open-source AI/ML research platform that transforms ideas into paper-ready evidence through automated agents. With a Growth Score of 86.69 and 4,149 stars, this project appears to be growing rapidly due to its comprehensive approach in automating the entire research process from ideation to publication.
OpenAIoTLab/CUHK-X is a large-scale multimodal dataset designed for human action recognition, understanding, and reasoning, with applications in fields like robotics and healthcare. The project's Growth Score of 38.42 and steady stream of commits over the past month suggest that researchers are increasingly interested in its potential to enhance AI models' capabilities in understanding complex human behaviors.
NiluK/worldmodels101 offers a free interactive course on world models, covering prediction, latent dynamics, planning, and other key concepts in AI. With a Growth Score of 25.46 and 199 stars, the project's popularity is likely driven by its visual and engaging approach to teaching these complex topics.
Zorost/AI-Engineering-Lab provides a comprehensive, self-paced course covering Python, machine learning, LLMs, and more over 24 weeks. Its Growth Score of 19.72 and 303 stars indicate that developers are finding value in its practical approach to AI engineering education.
Kyky2347/ALTA is a research-only project focused on multi-agent public-market discovery using autonomous LLMs, with features for risk assessment and replayable evaluation. With a Growth Score of 18.82 and 343 stars, the ALTA project's growth likely reflects its innovative approach to integrating AI in financial market analysis.
MirroS-Lab/S-Space explores spatial workspace integration within multimodal models, aiming to enhance the understanding and application of space in AI systems. Its Growth Score of 17.43 and 217 stars suggest that researchers are interested in advancing the spatial aspects of model design for better performance in various applications.
Ventas319/microsoft-ai-livestream-slidevault is a repository containing slides and presentation decks from Microsoft's AI training sessions, serving as an educational resource for those looking to stay updated on the latest trends and techniques. With a Growth Score of 17.26 and 56 stars, its popularity likely stems from its utility in providing access to valuable training materials.
Jadense-ai/jadense-in-zotero is an AI research assistant designed specifically for Zotero, enhancing researchers' ability to manage citations and references efficiently. With a Growth Score of 13.50 and 66 stars, the project's growth likely reflects its usefulness in streamlining academic research workflows.
DEEP-JLU/Awesome-Graph-Engineering is a survey on graph engineering in the era of LLM agents, exploring how individual intelligence can be scaled to system-level intelligence. Its Growth Score of 11.06 and 321 stars indicate that there's growing interest among researchers in understanding the broader implications of AI systems.
Ppop123/ai-tools-radar is a locally-run repository tracking growth metrics for various AI tools, offering insights into real traffic, new product launches, and more. With a Growth Score of 10.18 and 126 stars, its rising popularity likely comes from the valuable intelligence it provides about emerging trends in the AI tool ecosystem.
These projects highlight the diversity and depth of innovation within the AI research community, covering everything from automation to educational resources and specialized datasets.