AI Risks that Could Lead to Catastrophe CAIS provides machine-learning models, research, training resources, or evaluation tools.
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Licensing is neither feasible nor effective for addressing AI risks provides machine-learning models, research, training resources, or evaluation…
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
The Dark Risk of Large Language Models WIRED UK provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
DataRobot delivers the industry- AI applications and platform that maximize impact and minimize risk for your business.
Open-solution-home-credit - source code and for Home Credit Default Risk.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Source code and experiments results for Home Credit Default Risk.
Risks and mitigations for developing and deploying generative AI applications.
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 This is outdated, check out scipy-lecture-notes.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.