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.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
Multilingual text (NLP) processing toolkit.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
A library for machine learning that builds predictions using a linear regression.
A library for machine learning that builds predictions using a linear regression.
Ask questions to your documents without an internet connection, using the power of LLMs.
Prompt Engineering Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
Promptfoo is a GitHub repository or organization with source code, releases, documentation, or project resources.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Another Python Machine Learning Library.
Algorithmic Trading with Machine Learning.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
Python interface for converting Penn Treebank trees to Stanford Dependencies.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
A Python library for implementing a Recommender System.
A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
A Modular Framework for Multi-Modal Tabular Learning.
Graph Neural Network Library for PyTorch.