We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Conditioning video frames with Stable Diffusion by @devdef.
StableLM: Stability AI Language Models.
Stanford CS336: Language Modeling from Scratch provides AI-assisted learning, courses, tutorials, or study support.
Seminar series on the frontier of machine learning and systems.
A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
DSPy: The framework for programming — not prompting — foundation models.
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Python-based inferential statistics, hypothesis testing and regression framework.
An English (Porter2) stemming implementation in Elixir.
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Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
StreamingLLM is a technique that can enable language models like Llama-2 to have conversations that span across millions of tokens.
Sukino-Findings is a text guide, note, or pasted reference with organized instructions or resource links.
The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.
A simple Python library for building and testing recommender systems.
A neuro-symbolic framework for building applications with LLMs at the core.
System Designer - ML Systems provides AI-assisted learning, courses, tutorials, or study support.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
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Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
List of AI tools suggested by lablab.ai for their hackathons.
Authors: Cal.com core team, Dexter Storey,.