Some of the python libraries were cut-and-pasted from.
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BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
Bricks is the easiest way to turn your CSV and Excel data into beautiful dashboards and reports in seconds with AI.
Interactive reports to analyze ML models during validation or production monitoring.
Analyze messy Excel, CSV, PDF, and image tables with AI. Find trends, explain changes, create charts, dashboards, and reports you can review.
Create HTML profiling reports from pandas DataFrame objects.
Collection of stable diffusion webui colab for different checkpoints.
Open-source package for validating ML models & data, with various checks and suites.
Deep learning in Rust, with shape checked tensors and neural networks.
Free AI domain generator with availability check and price comparison.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
No more fact-checking. No fabricated sources. Just AI you can trust.
No need to keep checking your training, just one import line and you'll know the second it's done.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
A brutally honest, occasionally kind, fully shareable roast of your résumé — with an ATS check, the fixes that matter, and your next move.
SciPy tutorials. This is outdated, check out scipy-lecture-notes.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.