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😎 Awesome lists about all kinds of interesting topics

bagging_pu icon bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

clltim icon clltim

Code for CLL-TIM feature encoding, base-learner prediction and generation of personalized risk-factors.

clrs icon clrs

:notebook:Solutions to Introduction to Algorithms

deepcc icon deepcc

DeepCC: a novel deep learning-based framework for cancer molecular subtype classification

deepehr icon deepehr

Chronic Disease Prediction Using Medical Notes

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

epfl-applied-biostatistics icon epfl-applied-biostatistics

Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.

free-project-course icon free-project-course

整理和搜集网络免费的项目实战课程,包括 Java 项目实战,Python 项目实战,C++ 项目实战等

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

leetcode icon leetcode

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

market-mix-modelling icon market-mix-modelling

This repository contains the code and explanation for market mix modelling technique in economics

mgae icon mgae

Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”

mmm_stan icon mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nrc icon nrc

Natural language generation for discrete data in EHRs

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