Python Packages
An optimizer that trains as fast as Adam and as good as SGD.
The interactive graphing library for Python β¨ This project now includes Plotly Express!
An open source python library for automated feature engineering
Python library that makes it easy for data scientists to create charts.
β‘ A Fast, Extensible Progress Bar for Python and CLI
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
NumPy aware dynamic Python compiler using LLVM
Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Lightning β‘οΈ fast forecasting with statistical and econometric models.
A grammar of data manipulation for pandas inspired by tidyverse
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
A python library for univariate regression, interpolation, and smoothing.
A Pandas Styler class for making beautiful tables
Build, present and share animated data stories in Jupyter Notebook and similar environments.
π Library of psychrometric functions to calculate π‘οΈ thermodynamic properties of air for Python, C, C#, Fortran, R, JavaScript and VBA/Excel
Modin: Scale your Pandas workflows by changing a single line of code
A light-weight, flexible, and expressive statistical data testing library
A python library for self-supervised learning on images.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning