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Statistical modelling and econometrics in Python.
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An English (Porter2) stemming implementation in Elixir.
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Creates or edits images with generative models and visual controls.
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A model-driven approach to building AI agents in just a few lines of code.
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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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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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Creates, edits or enhances video and animation with generative models.
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Create. Use. Share. ChatGPT prompts.
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Works with speech, voice, music or other audio using machine-learning models.
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Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
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Automated ML tool that optimizes machine learning pipelines using genetic programming.
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A web app to generate template code for machine learning.
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Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Creates or edits images with generative models and visual controls.
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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.