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A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
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DSPy: The framework for programming — not prompting — foundation models.
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⭐ to get notified when new templates drop.
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An English (Porter2) stemming implementation in Elixir.
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A neuro-symbolic framework for building applications with LLMs at the core.
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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.
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Inference engine for TensorRT on Nvidia GPUs.
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Large Language Model Text Generation Inference.
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Text preprocessing package for use in NLP tasks.
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Creates, rewrites or summarizes written content with language models.
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TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
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Example of how the neural network learns to predict the angle between two points created with Synaptic.
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A Collection of Awesome Generative AI Applications.
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Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
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Agent techniques to augment your LLM and push it beyond its limits.
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Create. Use. Share. ChatGPT prompts.
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Uniform deep learning inference framework for mobile, desktop and server.
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Works with speech, voice, music or other audio using machine-learning models.
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Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
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Python library for automatic extraction of relevant features from time series.
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A Java implementation of Twitter's text processing library.
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Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
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Minimize LLM token complexity to save API costs and model computations.