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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).

Python-based inferential statistics, hypothesis testing and regression framework.

Statistical modelling and econometrics in Python.

Lets you create apps for your ML projects with deceptively simple Python scripts.

A simple Python library for building and testing recommender systems.

A Python library for symbolic mathematics.

Analyzes structured data and helps produce queries, insights or visualizations.

Python library for automatic extraction of relevant features from time series.

Blazing fast short-text-topic-modelling for Python.

Vaex is a Python library that allows you to visualize large datasets and calculate statistics at high speeds.