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sharpe5's Projects

arctic icon arctic

High performance datastore for time series and tick data

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cost icon cost

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

dfply icon dfply

dplyr-style piping operations for pandas dataframes

docker-kdb icon docker-kdb

A minimal (Alpine Linux) docker container for running KDB+

docs icon docs

Documentation of Clockwork concepts and tooling.

embedpy icon embedpy

Allows the kdb+ interpreter to call Python functions

etdataset icon etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

exceldna.utilities icon exceldna.utilities

Utilities that add functionality to ExcelDna such as creating a COM like interface to the C API

financial-machine-learning-regulation icon financial-machine-learning-regulation

A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.

flint2 icon flint2

FLINT (Fast Library for Number Theory)

fracdiff icon fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

gitignore icon gitignore

A collection of useful .gitignore templates

joint-vae icon joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

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