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Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
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Use AutoML to do model compression.
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A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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Multilingual text (NLP) processing toolkit.
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A high-speed inference engine for deploying LLMs locally.
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A library for machine learning that builds predictions using a linear regression.
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A library for machine learning that builds predictions using a linear regression.
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Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
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A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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OSINT tool for checking Proton Mail addresses and ProtonVPN-related IP information during security research.
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Another Python Machine Learning Library.
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Algorithmic Trading with Machine Learning.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
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A Python library for implementing a Recommender System.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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A Modular Framework for Multi-Modal Tabular Learning.
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Graph Neural Network Library for PyTorch.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Benchmarking Large Language Models.