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amirunpri2018's Projects

mimic3-benchmarks icon mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mimic_extract icon mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

mini-caffe icon mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

miningfss icon miningfss

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

mirna_project icon mirna_project

miRNA Discovery Project : simple, easy-to-use, rule-based miRNA candidate discovery with multithread acceleration

mish icon mish

Mish: A Self Regularized Non-Monotonic Neural Activation Function

mixclone icon mixclone

A mixture model for inferring tumor subclonal populations

ml-projects icon ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ml5_js icon ml5_js

Machine Learning Implementation in JavaScript using ml5.js for Classification and Object Detection.

ml_competitions icon ml_competitions

Various machine learning & data analyses competitions. Kaggle.com and so on

ml_paper_club icon ml_paper_club

A repository of papers that have been presented at nPlan's machine learning paper club

mlb_win_predictor icon mlb_win_predictor

Neural network that predicts the number of wins for a baseball team based on the importance of different statistical categories and their influence on a team's success.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mldl icon mldl

Machine Learning and Deep Learning Resources

mlds2018spring icon mlds2018spring

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

mlstm-fcn icon mlstm-fcn

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

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