Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
Directory
Search results
Published directory entries matching your search.
A better version of Jieba, developed by Peking University.
Python library for working with Probabilistic Graphical Models.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
Python-based meta-heuristic optimization techniques.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
A library that enables training PyTorch models with differential privacy.
Nn builder is a python package that lets you build neural networks in 1 line.
Machine learning for NeuroImaging in Python.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
A PyTorch implementation of DeepDream.
A modular active learning framework for Python, built on top of scikit-learn.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
C, C++, and Python tools for named entity recognition and relation extraction.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI provides machine-learning models, research, training resources, or…
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
LlamaIndex is a data framework for your LLM applications.
Provides a central interface to connect your LLM's with external data.
Lifelines is a complete survival analysis library, written in pure Python.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.