handreazz Goto Github PK

analyo

antropometria

Projeto sobre reconhecimento de padrões em Python

app

本科期间写的一些应用程序

bigdata

bioinformatics

bioweb

One key deploy for Apache+Python-cgi+biopython

bme-160

Research Programming in the Life Sciences

ccf2019_products

classification_ibl

cxcalc-py

deepfr

Improving Protein Fold Recognition by Extracting Fold-specific Features from Predicted Residue-residue Contacts

devcentre-hackathon

GradientBoostingClassifier for predicting fraudulent transactions.

enamdnn

explore_data

学习对一份数据的探索和分析建模

feature-engineering

python机器学习/数据建模项目-数据预处理、特征工程总结FeatureEngineering

featureselectionsandextractions

feature selections and extractions

genome-assembly

Genome Assembly and Antibiotics Sequencing https://stepik.org/lesson/196/step/1?unit=8239

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

gta-hunter

Classification of GTA Genes using Machine Learning

keras-deepfm

Implementation of DeepFM using keras. And train on libsvm format file

local_protein_sequence_design

Design a local part of a protein

machine-learning

machine_learning

machinelearning

监督学习,无监督学习,数据预处理, 模型评估与改进,管道构建

minibatchsvm

Mini-batch SVM / Logistic Regresion, Online learning for large scale data.

ml-1d-convolutional-nn-for-proteins-solvent-accessibility-prediction

Machine Learning Project for building a Convolutional Neural Network for the Proteins Solvent Accessibility Prediction

mlinaction

机器学习实战源代码及其详细解释

name2gender

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

path-classification-experiment

Introduction to Data Analysis: Path Classification Experiment. 本资源以选择最优路径为例详细介绍了如何解决一般的分类问题，包括原始数据的探索、模型的构建、模型调优和模型预测分析。包含前馈神经网络（Keras）、机器学习模型（sklearn）和绘制数据图表（matplotlib）的基础使用。

pawel_phd_scripts

A collection of various scripts I wrote and used during my PhD studies.