Pinned Repositories
bili
谢谢大家的赞呀~加油加油~有不懂的可以私信我哦（只要我会的尽量帮忙解答）
Clinical-Multivariate-Time-Series-Data-Classification
A temporary repository to save plots.
clinical-vis
A javascript medical record visualization (https://arxiv.org/abs/1810.05798)
d3-parsets
An interactive parallel sets visualisation for D3.js.
DenseSharp
[Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
dfply
dplyr-style piping operations for pandas dataframes
early-stopping-pytorch
Early stopping for PyTorch
enjoyment
各种代码测试
gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
ggpomological
🍑 Pomological plot theme for ggplot2
akarito's Repositories
akarito/requests-html
Pythonic HTML Parsing for Humans™
akarito/bili
谢谢大家的赞呀~加油加油~有不懂的可以私信我哦（只要我会的尽量帮忙解答）
akarito/ggpomological
🍑 Pomological plot theme for ggplot2
akarito/timevis
Create interactive timeline visualizations in R
akarito/transdim
Machine learning for transportation data imputation and prediction.
akarito/shap
A game theoretic approach to explain the output of any machine learning model.
akarito/TSstudio
Tools for time series analysis and forecasting
akarito/ML_for_Health
This repository has clinical time series models on MIMIC data
akarito/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
akarito/Time-Series-EDA-and-Forecast
In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data contains mostly categorical variables and components of the vectors from the description column. The index column is a timeseries format. The major objective of this section is to understand the general trends in the data, and gain some quick insights, and then predict and forcast the Sales of the category "Technology" of the given sales data.The statistical significance of these observations will be also tested in 'Exploratory Data Analysis'.
akarito/early-stopping-pytorch
Early stopping for PyTorch
akarito/d3-parsets
An interactive parallel sets visualisation for D3.js.
akarito/parallel-coordinates
A d3-based parallel coordinates plot in canvas. This library is no longer actively developed.
akarito/DenseSharp
[Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
akarito/Kaggle_Competition_Treasure
Describe past Kaggle solutions
akarito/dfply
dplyr-style piping operations for pandas dataframes
akarito/Clinical-Multivariate-Time-Series-Data-Classification
A temporary repository to save plots.
akarito/gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
akarito/clinical-vis
A javascript medical record visualization (https://arxiv.org/abs/1810.05798)
akarito/enjoyment
各种代码测试
akarito/imagenet
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
akarito/rossmann_TSA_forecasts
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.