Open-source Python toolkit that tracks whether ChatGPT, Claude, and Perplexity cite your site. MIT license, runs locally on your credentials.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
A super-easy way to record, search and compare 1000s of ML training runs.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Automatic architecture search and hyperparameter optimization for PyTorch.
AI Native database for embedding vectors.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Helps find, analyze or synthesize information for research and knowledge discovery.
Helps find, analyze or synthesize information for research and knowledge discovery.
Helps find, analyze or synthesize information for research and knowledge discovery.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
Open-source DMS (data management system) for powering data hubs and data portals.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Data-to-paper: AI-driven research from data to human-verifiable research papers.
LinkedIn's generalized metadata search & discovery tool.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source package for validating ML models & data, with various checks and suites.