orangeluc's Stars
rodelvr/helm-gke-deployments
A repository containing scripts that deploy open source data tools (Airflow, Airbyte, Grafana) to Google Kubernetes Engine
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
SanPen/GridCal
GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
ept/ddia-references
Literature references for “Designing Data-Intensive Applications”
khpeek/funda-scraper
Scraper of the Dutch real estate website www.funda.nl, implemented in Python with Scrapy
clips/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
quandl/quandl-python
ddd-crew/ddd-starter-modelling-process
If you're new to DDD and not sure where to start, this process will guide you step-by-step
humiaozuzu/awesome-flask
A curated list of awesome Flask resources and plugins
diffbot/diffbot-python-client
Python Diffbot API Client
TheAlgorithms/Python
All Algorithms implemented in Python
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
xdevplatform/search-tweets-python
Python client for the Twitter 'search Tweets' and 'count Tweets' endpoints (v2/Labs/premium/enterprise). Now supports Twitter API v2 /recent and /all search endpoints.
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Chalarangelo/30-seconds-of-code
Short code snippets for all your development needs
mapbox/geojson-vt
Slice GeoJSON into vector tiles on the fly in the browser
projectmesa/mesa
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Jefferson-Henrique/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
troxler/awesome-css-frameworks
List of awesome CSS frameworks in 2024
pyladiesams/Azure-functions-beginner-mar2020
An introduction to Azure functions in Python.
geduldig/TwitterAPI
Minimal python wrapper for Twitter's REST and Streaming APIs
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
energyRt/energyRt
Making Energy Systems Modeling as simple as a linear regression in R