GitHub-проекты

A python package for data exploration and data analysis. [Deprecated]

implementation of the hdbscan algorithm in Python - used for clustering

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).

Tools for exploratory data analysis in Python.

A data exploration platform designed to be visual, intuitive, and interactive.

Simple, realtime visualization of neural network training performance.

An API for plotting in Jupyter (IPython).

The power of Chart.js in Jupyter Notebook.

Pandas on PySpark (POPS).

An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! [Deprecated]

A web-based visualization and debugging platform for NuPIC. [Deprecated]

GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

A Python Framework for Wind Energy Analysis and Prediction.

The Python ensemble sampling toolkit for affine-invariant MCMC.

NumPy and Pandas interface to Big Data.

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.

[Deprecated]

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

Rendering beautiful SVG maps in Python.

Unified interface to ggplot2 popular R packages.

Same API as ggplot2 for R. [Deprecated]

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.

A plotting library for Python, based on D3.js.

A Python to Vega translator.

Interactive Web Plotting for Python.

Statistical modelling and econometrics in Python.

A Python library for symbolic mathematics.

A Pythonic algorithmic trading library.

Markov Chain Monte Carlo sampling toolkit.

Business Intelligence (BI) in Python (Pandas web interface) [Deprecated]

A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found here.

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.

Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.

Multidimensional cluster generation in Python.

Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.

A python machine learning library created to combine powefull data analasys features with tensors and machine learning components, while maintaining support for other libraries.

Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution.

The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.

A bounded controller for production ML under distribution shift — detects drift, learns from delayed labels, and takes the smallest safe steering step to defer unnecessary retrains.

Frouros is an open source Python library for drift detection in machine learning systems.

Algorithmic Trading with Machine Learning.

AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction.