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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

aialpha

Use unsupervised and supervised learning to predict stocks

algorithms

allyinvestzorroplugin

A Zorro broker API plugin for Ally Invest, written in Win32 C++.

alpaca_tech_screener

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

backtrader-stuff

backtrader-walkforward

Example of walk-forward for Backtrader

blog

Source code for my personal blog

blog-1

Code snippets that I have a blog entry for at vitaltrades.com

chatwoot

Open-source customer engagement suite, an alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬

codes-youtube-videos

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dash

Analytical Web Apps for Python. No JavaScript Required.

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlrm

An implementation of a deep learning recommendation model (DLRM)

dynamicarray

A basic dynamic array library intended for the Zorro Trading Automaton.

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

forex-and-stock-python-pattern-recognizer

A machine learning program that is able to recognize patterns inside Forex or stock data

futuresio-webinars

Supported files and code examples for my futures.io webinars series

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kaggle-code

A repository for some of the code I use in kaggle data science & machine learning tasks.

live-charts

Simple, flexible, interactive & powerful charts, maps and gauges for .Net

longtermchatexternalsources

GPT-3 chatbot with long-term memory and external sources