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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
github.com
Another Python Machine Learning Library.
github.com
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
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A better version of Jieba, developed by Peking University.
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Python library for working with Probabilistic Graphical Models.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
github.com
Python-based meta-heuristic optimization techniques.
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A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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A library that enables training PyTorch models with differential privacy.
github.com
Nn builder is a python package that lets you build neural networks in 1 line.
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Machine learning for NeuroImaging in Python.
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A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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A PyTorch implementation of DeepDream.
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A modular active learning framework for Python, built on top of scikit-learn.
github.com
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
github.com
C, C++, and Python tools for named entity recognition and relation extraction.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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LlamaIndex is a data framework for your LLM applications.
github.com
Provides a central interface to connect your LLM's with external data.
github.com
Lifelines is a complete survival analysis library, written in pure Python.