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Marcus Vinicius's Projects

sv06-fully-open-source icon sv06-fully-open-source

The fully open source for the SV06 Includes the stl file and step files for the SV06. The firmware souce code is in another link, please check sovol3d repository here

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

taipy icon taipy

Turns Data and AI algorithms into production-ready web applications in no time.

techan.js icon techan.js

A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.

trading-with-python icon trading-with-python

Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.

tutorials icon tutorials

Ipython notebooks for math and finance tutorials

txtempus icon txtempus

A DCF77, WWVB, JJY and MSF clock LF-band signal transmitter using the Raspberry Pi

udemy-course-python-for-financial-analysis icon udemy-course-python-for-financial-analysis

This course taught me the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian

ultrafinance icon ultrafinance

Python project for real-time financial data collection, analyzing && backtesting trading strategies

vollib icon vollib

Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

yolo8-segmentation-deploy icon yolo8-segmentation-deploy

This is a production-ready deployment of YOLO8 Segmentation with TensorRT and ONNX, supporting both CPU and GPU options. Moreover, it can demonstrate how to integrate your AI models into Unitlab Annotate.

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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