Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
Open source analytics engine for processing financial, business, or data-analysis workflows.
Ambrosia helps you clean up your LLM datasets using other LLMs.
AI Native database for embedding vectors.
LinkedIn's generalized metadata search & discovery tool.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Instagram OSINT tool for collecting profile data, followers, posts, comments, and account signals.
pprof is a tool for visualization and analysis of profiling data
Toolbox of models, callbacks, and datasets for AI/ML researchers.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
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.
BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.