jretamales's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
public-apis/public-apis
A collective list of free APIs
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
axa-group/Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
feast-dev/feast
The Open Source Feature Store for Machine Learning
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 🚀.
sfu-db/dataprep
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
olivierkes/manuskript
A open-source tool for writers
business-science/pytimetk
Time series easier, faster, more fun. Pytimetk.
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
roovo/obsidian-card-board
An Obsidian plugin to make working with tasks a pleasure (hopefully anyway).
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
decile-team/spear
SPEAR: Programmatically label and build training data quickly.
domoritz/streamlit-vega-lite
A Streamlit component to render interactive Vega, Vega-Lite, and Altair visualizations and access the selected data from Python
PUC-RecSys-Class/RecSysPUC-2020
Material del curso de Sistemas Recomendadores IIC3633 PUC Chile
haoyfan/SemiTime
SemiTime (ICASSP2021)
Eitol/servel_scraper
Permite descargar el padrón del servel
CoLRev-Environment/colrev
CoLRev: An open-source environment for collaborative reviews
MetaCopilot/dseval
ddecatur/VizExtract
Automatic Relation Extraction from DataVisualizations
treuille/streamlit-manim
Seeing if I can put together an interactive version of 3b1b's Manim in Streamlit
alcayaga/padron-servel
Extractor Padron Servel
spzwanenburg/PermuSearch
Automate a literature search using combinations of search parameters