zzsnow

zzsnow

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zzsnow's repositories

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

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An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

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bokeh

Interactive Data Visualization in the browser, from Python

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canopus_treemap

CANOPUS visualization for Jupyter notebook

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cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

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dao-2048

2048 game

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deepHaem

Implementation of a deep convolutional neural network for predicting chromatin features from DNA sequence

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deepmass

DeepMass is a suite of tools to enable mass spectrometry data analysis using modern machine learning techniques.

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DI2A

Python and R code for peptide identification and quantification from direct infusion data-independent acquisition mass spectrometry data.

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FATE

An Industrial Grade Federated Learning Framework

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ggplot2

An implementation of the Grammar of Graphics in R

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GNNPapers

Must-read papers on graph neural networks (GNN)

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GraphNeuralNetwork

《深入浅出图神经网络:GNN原理解析》配套代码

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HUMOS

HUMOS is a web application aimed to help teaching Orbitrap mass spectrometry. HUMOS models a mass spectrum of a peptide mixture allowing to investigate the influence of mass spectral acquisition parameters. By changing the parameters and observing the differences one can learn more about mass spectral resolution, duty cycle, the throughput of the analysis, ion accumulation, spectral dynamic range, and get familiar with advanced spectral acquisition methods, such as BoxCar.

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jupyter

Jupyter metapackage for installation, docs and chat

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perseus-plugins

The perseus software for the statistical analysis of omics data (http://www.perseus-framework.org/) has a plugin architecture. Here you find the code necessary to develop your own plugins.

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philosopher

A complete toolkit for shotgun proteomics data analysis

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pytorch-Deep-Learning

Deep Learning (with PyTorch)

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scCaps

An interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell RNA-seq data

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SCPCompanion

SCPCompanion for single cell proteomic analysis by mass spectrometry

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SCPCompanionSource

Source Code for SCP Companion

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sklearn-doc-zh

:book: [译] scikit-learn(sklearn) 中文文档

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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