Multidimensional cluster generation in Python.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
PyGPT is an open‑source desktop AI assistant for Windows, macOS and Linux. Chat, agents, web search, run Python, TTS/STT, plugins, long‑term memory.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
Python interface for converting Penn Treebank trees to Stanford Dependencies.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
Helps find, analyze or synthesize information for research and knowledge discovery.
Supports software work with AI-assisted coding, testing or application development.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
A python framework to transform natural language questions to queries in a database query language.
Tutorial on Python time-series model deployment.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Deep learning based facial detector for Python coming with facial landmarks.
High-performance, high-precision CPU, GPU, and memory profiler for Python.
A collection of algorithms for image processing in Python.
A Python module for machine learning built on top of SciPy.
A python visualization library based on matplotlib.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Self Organizing Map written in Python (Uses neural networks for data analysis).