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Notebooks and code for the book "Introduction to Machine Learning with Python".

This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.

Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.

A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.

Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.

Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).

A Python library for implementing a Recommender System.

Helps find, analyze or synthesize information for research and knowledge discovery.

Python creates or edits images with generative AI and text-based controls.

Python-zpar - Python bindings for, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.

Open-source, low-code machine learning library in Python that automates machine learning workflows.

Deploys machine learning projects developed in Python, to Kubernetes.

Python library for data-centric AI and machine learning with messy, real-world data and labels.

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Python package which helps to debug machine learning classifiers and explain their predictions.

A fast Evolution Strategy implementation in Python.

A Python package to assess and improve fairness of machine learning models.

An open source Python library for drift detection in machine learning systems.

Fundamentals of machine learning in python.