natashawatkins

natashawatkins's Stars

• github/gitignore

  A collection of useful .gitignore templates

  162k3.4k083.1k

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python13.5k1097341.3k

• statsmodels/statsmodels

  Statsmodels: statistical modeling and econometrics in Python

  Language:Python10.2k2835.5k2.9k

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.2k266151.3k

• urllib3/urllib3

  urllib3 is a user-friendly HTTP client library for Python

  Language:Python3.8k1011.3k1.1k

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.3k35163187

• toddwschneider/nyc-taxi-data

  Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

  Language:R2k12725568

• alkaline-ml/pmdarima

  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

  Language:Python1.6k36333234

• mossr/BeautifulAlgorithms.jl

  Concise and beautiful algorithms written in Julia

  Language:Julia1.3k22791

• mortada/fredapi

  Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

  Language:Python9394250161

• moderndive/ModernDive_book

  Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

  Language:HTML75833154487

• microprediction/timemachines

  Predict time-series with one line of code.

  Language:Python4051210451

• betatim/notebook-as-pdf

  Save Jupyter Notebooks as PDF

  Language:Jupyter Notebook369123573

• matthewwardrop/formulaic

  A high-performance implementation of Wilkinson formulas for Python.

  Language:Python3451210725

• drvinceknight/Nashpy

  A python library for 2 player games.

  Language:Python335108171

• BrianPugh/python-template

  Python project and library template for clean, reliable, open-source projects.

  Language:Python26651316

• numba/numba-scipy

  numba_scipy extends Numba to make it aware of SciPy

  Language:Python258134934

• akaszynski/keepa

  Python Keepa.com API

  Language:Python2412111478

• github/developer-policy

  The GitHub Policy Team created and maintains this repository as a place for developers to contribute to our policy work.

  381285

• polzinben/Time-Series-Forecasting

  Time Series Analysis and Forecasting with TensorFlow, ARIMA, and Prophet

  Language:Jupyter Notebook23106

• executablebooks/sphinx-exercise

  A Sphinx extension for producing exercise and solution directives.

  Language:HTML197336

• btengels/DMP-projection

  Accurately solving the Diamond-Mortenson-Pissarides model of labor-market search

  Language:Python16505

• anyatarascina/pyRVtest

  Python code for the procedure in Duarte, Magnolfi, Sølvsten, and Sullivan (2023) to test firm conduct.

  Language:Python12423

• jborovicka/nyu-computational-dynamics

  Computational Dynamics course, MSQE program

  Language:Jupyter Notebook12106

• QuantEcon/website

  Website for QuantEcon Organisation

  Language:HTML85418

• QuantEcon/quantecon-book-networks

  Package for networks.quantecon.org (Economic Networks)

  Language:Python7823

• ccolonescu/POE5Rdata

  POE5 data package.

  62

• QuantEcon/qe_libraries_article

  Repo for a paper describing the QE libraries

  Language:TeX4562

• Smit-create/jax_tutorial

  JAX tutorials

  Language:Jupyter Notebook2100

• natashawatkins/lecture-python.myst

  Quantitative Economics with Python

  Language:Jupyter Notebook1100