wangbing587's repositories

DeepSCP

DeepSCP: utilizing deep learning to boost single-cell proteome coverage

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DeepSP

DeepSP: A Deep Learning Framework for Spatial Proteomics

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pandas

pandas日常操作

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seurat-wrappers

Community-provided extensions to Seurat

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NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

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pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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Gasyori100knock

image processing codes to understand algorithm

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pytorch-multi-class-focal-loss

A simple pytorch implementation for multi-class focal loss

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

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deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

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lihang

李杭老师《统计学习方法》Python实现

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Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

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learnpython

Python全栈教程

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torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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ML_Practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

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PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

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nbpreview

Render Jupyter/IPython notebooks without running a notebook server.

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Focal-Loss-Pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

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Chinese-Text-Classification-Pytorch

中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。

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Text-Generation-BiLSTM-PyTorch

In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.

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NGSpipe

A flexible, automation and pragmatic workflow tool to process the NGS data.

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nlp_basic_model

some basic deep learning models/method for nlp, text classification.

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

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Fasta2svm

将生物序列通过kmer_embedding传给svm

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