Helps find, analyze or synthesize information for research and knowledge discovery.
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Interactive Hugging Face app that helps find, analyze or synthesize information for research and knowledge discovery.
Paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta.
Paper published in the Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society.
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
25th Aug, 2023 Feature: Adding TextArea for custom prompts.
A super-easy way to record, search and compare 1000s of ML training runs.
Set of seminal AI/ML papers curated by Aman Chadha.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
Automatic architecture search and hyperparameter optimization for PyTorch.
AI Native database for embedding vectors.
A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis.
BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
Easy to read summaries of popular AI papers.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Open-source search infrastructure for AI.
Introducing GetWhys: AI trained on firsthand experiences.
Cosmos helps video companies find the right past work faster, so sales teams can use finished projects to win more deals.
Data-to-paper: AI-driven research from data to human-verifiable research papers.
LinkedIn's generalized metadata search & discovery tool.
Ego-Exo4D: a foundational dataset by Meta for research on video learning and multimodal perception.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.