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abides-jpmc-public

chameleon_cluster

A chameleon clustering algorithm implementation in PYTHON3.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

feature-clustering

A data-driven dimensionality reduction analysis utilizing Dask and Scikit-Learn to be used in a paper for Lawrence Berkeley National Laboratory

hierarchical-tree-distance

An implementation of the AKB tree distance, a measure designed to quantify the similarity between classes within a hierarchical label tree. Adept at emphasizing the importance of higher hierarchy errors, utilizing the taxonomy's inherent structure instead of simply flattening the hierarchy in traditional.

hon-gyu

langchain

⚡ Building applications with LLMs through composability ⚡

logseq-notes

semi-blog

meta-labeling-and-lstm

An implementation that applies meta-labeling to minute-frequency stock data, utilizing LSTM as the primary model for price direction prediction, which forms the basis for a trading strategy augmented by a secondary meta-labeling layer to filter false positives and improve risk-return metrics.

miryoku_zmk

Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout. Miryoku ZMK is the Miryoku implementation for ZMK.

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.

model-fingerprint

A model-agnostic method to decompose predictions of machine learning models into linear, nonlinear and pairwise interaction effects.

pedefe-reader

pytorch-shap

An implemention of using PyTorch model in shap framework. Created shap.Explanation object for PyTorch models to facilitate visualisation using a unified interface.

risklabai.py

Financial AI with Python

semi-supervised-chameleon-clustering

An implementation of semi-supervised Chameleon clustering, capable of integrating must-link and cannot-link constraints at various levels of hierarchy to guide the clustering process. It also offers the ability to perform Chameleon clustering without any constraints, i.e., pure unsupervised clustering.

semi-supervised-hedge-fund-clustering

A semi-supervised clustering method utilizing tree distance for enhanced hierarchical classification of funds in fund of funds analysis.

zmk-config-2