awesome-artificial-intelligence-research
github.com/thyrixyang/awesome-artificial-intelligence-research ↗A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me computer vision resources from awesome-artificial-intelligence-research"
Installation instructions →What's inside
Multimodal, Vision-Language, and Generative AI
- 3D Gaussian Splatting PapersComputer Vision
actively maintained 3D Gaussian Splatting paper tracker, including conference-specific lists.
- 3D Point CloudComputer Vision
point cloud deep learning resources.
- Awesome Autonomous VehiclesEmbodied AI, Robotics, and World Models
self-driving and autonomous vehicle resources.
- Awesome CBIR PapersComputer Vision
image retrieval and content-based image retrieval.
- Awesome Crowd CountingComputer Vision
crowd counting papers and datasets.
- Awesome Deep VisionComputer Vision
classic deep vision resources with high historical value.
Core Machine Learning Research
- Adversarial Machine LearningRobustness, Interpretability, and Learning Paradigms
adversarial ML papers and resources.
- AutoML PapersGeneral ML, Surveys, and Methods
automated machine learning papers and tutorials.
- Awesome Architecture SearchGeneral ML, Surveys, and Methods
neural architecture search resources.
- Awesome AutoDLGeneral ML, Surveys, and Methods
automated deep learning and neural architecture search.
- Awesome Causality AlgorithmsGeneral ML, Surveys, and Methods
causal discovery and inference algorithms.
- Awesome Community DetectionGraph Learning and Knowledge Graphs
community detection papers.
Domain Applications
- Anomaly Detection ResourcesAnomaly Detection
anomaly detection papers, books, code, and datasets.
- Awesome AI Agents for HealthcareScience, Medicine, and Quant
healthcare agentic AI papers and resources.
- Awesome AI for ScienceScience, Medicine, and Quant
AI tools, papers, datasets, and frameworks for scientific discovery.
- Awesome AI ScientistScience, Medicine, and Quant
survey-style collection on AI scientists, AI researchers, AI engineers, and automated research pipelines.
- Awesome Anomaly DetectionAnomaly Detection
anomaly detection papers and resources.
- Awesome DeepBioScience, Medicine, and Quant
deep learning for computational biology.
Research Feeds, Benchmarks, and Model/Data Hubs
- arXiv SanityPaper Discovery and Code
arXiv search and paper recommendation.
- Awesome AI BenchmarksModels, Datasets, and Evaluation
searchable collection of benchmarks for agents, reasoning, code, multimodal, translation, and other AI domains.
- Awesome LLM EvalModels, Datasets, and Evaluation
tools, datasets, benchmarks, leaderboards, papers, and demos for LLM evaluation.
- Awesome Public DatasetsModels, Datasets, and Evaluation
topic-centric list of public datasets.
- Berkeley CS285 Deep Reinforcement LearningLearning Paths
deep RL lectures and assignments.
- CS224N Natural Language Processing with Deep LearningLearning Paths
NLP and language model foundations.
Foundation Models, LLMs, and Agents
- Awesome Agent MemoryAgent Protocols, Memory, and Tooling
papers, systems, and benchmarks for long-term memory, context engineering, retrieval, and reasoning in agents.
- Awesome Agents for ScienceAI Agents
LLM agents for scientific research and development.
- Awesome AI Agent PapersAI Agents
weekly updated 2026 agent research papers on memory, tools, evaluation, workflows, and security.
- Awesome AI AgentsAI Agents
autonomous agent projects and resources.
- Awesome AI AlignmentAlignment, Safety, Security, and Trustworthiness
alignment research resources and reading paths.
- Awesome AI SafetyAlignment, Safety, Security, and Trustworthiness
AI quality, testing, robustness, fairness, and privacy.
Showing a sample of 156 resources. View the full list on GitHub →