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jingmouren's Projects

midaspy icon midaspy

Python package for missing-data imputation with deep learning

mikropml icon mikropml

User-Friendly R Package for Supervised Machine Learning Pipelines

minirocket icon minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

minpy icon minpy

NumPy interface with mixed backend execution

mist icon mist

超高性能且不受时间回拨影响的全局唯一 ID 生成算法,薄雾算法

ml-fairness-framework icon ml-fairness-framework

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

ml-finance icon ml-finance

💰 A collection of finance related machine learning examples

mlcomp icon mlcomp

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

mlfinlab icon mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mlforforecasting icon mlforforecasting

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters

mljar-supervised icon mljar-supervised

The Automated Machine Learning - the new standard in ML. Machine Learning for Humans.

mnad icon mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

model-server icon model-server

gRPC server for hosting ML models trained on any framework in python

modeltime icon modeltime

Modeltime unlocks time series models and machine learning in one framework

modin icon modin

Modin: Speed up your Pandas workflows by changing a single line of code

moo-gbt icon moo-gbt

Library for Multi-objective optimization in Gradient Boosted Trees

mood icon mood

Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection

mostly-true icon mostly-true

Benjamini-Hochberg style FDR estimates under publication bias

msapriori icon msapriori

Applying Apriori algorithm on items with multiple minimum support

mslive_public icon mslive_public

Track live sentiment for stocks from Reddit and Twitter and identify growing stocks

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