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For IBM Quantum Challenge 2024 (5-14 June 2024)
DSPy: The framework for programming—not prompting—foundation models
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Transformers 3rd Edition
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Smart Python OpenAI Load Balancer using priority endpoints and request retries. | Python package at link below:
Implementation of "The Metropolis Algorithm: Theory and Examples"
Visualizer for neural network, deep learning and machine learning models
Low Latency Interest Rate Markets – Theory, Pricing and Practice
JuliaBriden / tsai
Forked from timeseriesAI/tsaiTime series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Examples using pysystemtrade for my blog qoppac.blogspot.com
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…
Notebooks that replicate original quantitative finance papers from Emanuel Derman
A curated list of practical financial machine learning tools and applications.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, repurpose it for hand detection using Transfer Learning Toolki…