- Mogi Guaçu - SP
-
06:18
(UTC -03:00) - http:https://www.github.com/mahenrique94
- matheus.castiglioni.5
- mahenrique94
- @mahenrique94
- channel/UCSrG4Y5uz0dcSfi_2qMQdGQ
Block or Report
Block or report mahenrique94
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language: Python
Sort by: Most stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Distributed Task Queue (development branch)
Data validation using Python type hints
The interactive graphing library for Python ✨ This project now includes Plotly Express!
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Simple, Pythonic remote execution and deployment.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Open source annotation tool for machine learning practitioners.
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
Execute a local command using the processing power of another Linux machine.