Lama Cleaner is a fully self-hostable inpainting tool powered by state-of-the-art AI models. It’s free and open source software.
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Lama Cleaner is a fully self-hostable inpainting tool powered by state-of-the-art AI models. It’s free and open source software.
Read moreDalai bills itself as “the simplest way to run LLaMA on your local machine”. LLaMA is an acronym for Large Language Model Meta AI.
Read moreElectronic circuit simulation uses mathematical models to replicate the behavior of an actual electronic device or circuit.
Read moreEasy Diffusion offers a web user interface for Stable Diffusion. This is cross-platform open source software running on Linux, macOS, and Windows.
Read moreStable Diffusion web UI provides a browser interface for Stable Diffusion, a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
Read moreChatGPT is a variant of the GPT-3 (Generative Pre-trained Transformer 3) language model, which was developed by OpenAI and launched in November 2022.
Read morescikit-learn is one of the most commonly used packages when it comes to Machine Learning and Python.
Read moreInvokeAI is a Stable Diffusion toolkit. This software lets you generate highly detailed images based on text descriptions.
Read moreWhisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data.
Read moreOld Photo Restoration is an academic project that lets you restore old photos. This software uses PyTorch and is written in Python.
Read moreUltimate Vocal Remover is a GUI that lets you isolate stems from music. It offers convenient access to a wide range of different models.
Read moreElectronic Design Automation (EDA) is a type of software that enables individuals to design electronic systems.
Read moreCoqui STT (STT) is a deep-learning toolkit for training and deploying speech-to-text models.
Read moreAstroML is a Python module for machine learning and data mining.
Read moreEconometrics is the application of statistical or quantitative methods to understand economic issues and test theories, and models.
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