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esvhd's Projects

cs231n icon cs231n

Assignments for Stanford cs231n

dabl icon dabl

Data Analysis Baseline Library

dynamic-evaluation icon dynamic-evaluation

Dynamic evaluation for pytorch language models, now includes hyperparameter tuning

finbert icon finbert

Financial Sentiment Analysis with BERT

former icon former

Simple transformer implementation from scratch in pytorch.

fredapi icon fredapi

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

johansen icon johansen

Python implementation of the Johansen test for cointegration

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machine-learning-for-asset-managers icon machine-learning-for-asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

mlfinlab icon mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mpo icon mpo

Multi-Period Optimisation

pbo icon pbo

Probability of Backtest Overfitting

pypbo icon pypbo

Probability of Backtest Overfitting in Python

pyportfolioopt icon pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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