1965aafc's Stars
widgetti/solara
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
kmicha03/PlotEventData
deanpatel2/Webscraper-PremData
Selenium-powered web scraper for football data from FotMob.
microsoft/autogen
A programming framework for agentic AI 🤖
oturns/geosnap
The Geospatial Neighborhood Analysis Package
postgresml/postgresml
Postgres with GPUs for ML/AI apps.
MichelNivard/gptstudio
GPT RStudio addins that enable GPT assisted coding, writing & analysis
aws-samples/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
xtekky/gpt4free
The official gpt4free repository | various collection of powerful language models
fmansillaib/stata_pSMOTE
Código que permite balancear clases desequilibradas en la variable de estudio dependiente. Es recomendable usarlo para variables dependientes dicotómicas.
google/auto-arborist
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
PhilipDW183/flask_structure
The basic structure to get you started with a flask application
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
flet-dev/flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
pcorralrodas/wentropy
Stata command for weight calibration using max entropy.
CodingTrain/Machine-Learning
Examples and experiments around ML for upcoming Coding Train videos
OpenIntroStat/oilabs-tidy
👩🏿💻 OpenIntro Labs in R using the tidyverse design philosophy, grammar, and data structures
hablandoendata/recopilacion
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
tdpetrou/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
clauswilke/dataviz
A book covering the fundamentals of data visualization
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
giswqs/qgis-earthengine-examples
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
giswqs/gh-pages-html-template
A simple template for deploying an HTML website to GitHub Pages