-
Mipih
- Toulouse
- in/valentin-maupin
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
zanderp / open-cfmoto
Forked from dcoletto/open-cfmotoOpen implementation of the CFMoto MotoPlay mirroring
Script that organizes the Google Takeout archive into one big chronological folder
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.
Les anciens pdf du site du zero. (openclassroom)
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
✉️ Send e-mails with Node.JS – easy as cake!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
JavaScript API for Chrome and Firefox
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🔒 OpenVPN server in a Docker container complete with an EasyRSA PKI CA
Terraform module to create AWS VPC resources 🇺🇦
Streamlit — A faster way to build and share data apps.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
The fastai book, published as Jupyter Notebooks
Python wrapper for AutoHotkey with full type support. Harness the automation power of AutoHotkey with the beauty of Python.
HandySpark - bringing pandas-like capabilities to Spark dataframes
🧠 Leon is your open-source personal assistant.
A topic-centric list of HQ open datasets.
Machine Learning Experiments and Work
☁️ Nextcloud server, a safe home for all your data
Science des Données Saison 1: Description statistique, estimation, tests, régression linéaire simple, multiple. Modèle linéaire général.
Fair Statistical Learning Algorithms for Ethical Artificial Intelligence