pandas

hyperlearndanielhanchen/hyperlearn

HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.

SGX-Full-OrderBook-Tick-Data-Trading-Strategyrorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.

PyXleystitchfix/pyxley

A Python library for building Flask-based dashboards with React components using Jinja templating.

fintapeerchemist/finta

A Python library implementing over 80 financial technical indicators using Pandas for trading analysis.

dataprepsfu-db/dataprep

An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.

AutoVizAutoViML/AutoViz

Automatically visualize any dataset with a single line of code, including data quality assessment and fixes.

TradingGymYvictor/TradingGym

A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.

PGPortfolioZhengyaoJiang/PGPortfolio

A deep reinforcement learning framework for financial portfolio management with policy gradient optimization and backtesting tools.

Data Profilercapitalone/dataprofiler

A Python library that automatically extracts schema, statistics, and sensitive entities (PII/NPI) from datasets.

pyjanitorericmjl/pyjanitor

Python library providing clean, chainable functions for data cleaning and manipulation with pandas DataFrames.

empyricalquantopian/empyrical

A Python library for calculating common financial risk and performance metrics used in quantitative finance.

stockstatsjealous/stockstats

A pandas DataFrame wrapper for calculating over 70 stock market indicators and statistics with inline column access.

d3pymikedewar/d3py

A Python plotting library that generates interactive D3.js visualizations from pandas DataFrames.

ImagePyImage-Py/imagepy

An open-source, plugin-based image processing framework in Python that integrates with numpy-based libraries like scikit-image and OpenCV.

fecon235rsvp/fecon235

A collection of Jupyter notebooks for financial economics, providing high-level APIs to retrieve, analyze, and visualize economic data from sources like FRED.

mlforecastNixtla/mlforecast

A Python framework for scalable time series forecasting using machine learning models, designed for production environments.

adaptivepython-adaptive/adaptive

A Python library for parallel active learning of mathematical functions, intelligently sampling parameter spaces to minimize evaluations.

NFStreamnfstream/nfstream

A flexible Python framework for fast network flow data analysis, offering encrypted application identification, statistical feature extraction, and extensibility via plugins.

TorchXRayVisionmlmed/torchxrayvision

An open-source library providing chest X-ray datasets, pre-trained models, and tools for medical imaging research and analysis.

Emberelastic/ember

An open dataset and toolkit for training static PE malware machine learning models, featuring millions of labeled Windows executable samples.

Emberendgameinc/ember

An open dataset and toolkit for training static PE malware machine learning models, featuring extracted features from millions of Windows executable files.

Covid-19datasets/covid-19

A cleaned and normalized time series dataset of global COVID-19 confirmed cases, deaths, and recoveries, updated daily.

fastFMibayer/fastFM

A Python library implementing Factorization Machines with a scikit-learn compatible API for regression, classification, and ranking tasks.

btgymKismuz/btgym

A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.

Learn Statistics Using Pythonrouseguy/intro2stats

Learn statistics through Python with real-world examples like analyzing marijuana price data across US states.

PrimeKGmims-harvard/PrimeKG

A biomedical knowledge graph integrating 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales.

data_hackingClickSecurity/data_hacking

A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.

MIDAS: Detecting Microcluster Anomalies in Edge Streamsbhatiasiddharth/MIDAS

A real-time anomaly detection algorithm for dynamic graph streams, identifying intrusions, fraud, and fake ratings with constant memory and update time.

aequitasdssg/aequitas

An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.

Dplythondodger487/dplython

A Python library that brings R's dplyr data manipulation syntax to pandas DataFrames using a pipe operator.

chainer-chemistrypfnet-research/chainer-chemistry

A deep learning library built on Chainer for molecular property prediction using graph convolutional neural networks.

Data science your wayjadianes/data-science-your-way

A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.

ipython-notebooksogrisel/notebooks

A collection of IPython notebooks containing machine learning experiments and examples using scikit-learn and related Python libraries.

TabGANDiyago/Tabular-data-generation

A Python library for generating high-quality synthetic tabular data using GANs, diffusion models, and large language models.

SOMPYsevamoo/SOMPY

A Python library implementing Self-Organizing Maps (SOM) with batch training, PCA initialization, and visualization tools.

Auto_ViMLAutoViML/Auto_ViML

Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.