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2018-tagm-paper

2018 TAGM paper

bilstm

bit-of-data-science-and-scikit-learn

Youtube tutorial associated content

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。

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。

deep-belief-network

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

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程

deep_learning_in_proteomics

deepppisp

Protein-protein interaction sites prediction through combining local and global features with deep neural networks

deepscp

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

deepsp

DeepSP: A Deep Learning Framework for Spatial Proteomics

fasta2svm

将生物序列通过kmer_embedding传给svm

fda_scrna-seq

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.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

gasyori100knock

image processing codes to understand algorithm

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

idlp

image_segmentation

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

ksp-puel

Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data

learnpython

Python全栈教程

lihang

李杭老师《统计学习方法》Python实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

machine-learning-tutorials-from-ujjwalkarn

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearning-1

【火炉炼AI】-机器学习系列文章

machinelearning-from-wepe

matplotlib

matplotlib画图

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。

ml_practice

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