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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aleatoricsent

Study of applying aleatoric uncertainty to ELMO embeddings for sentiment analysis

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

contextrecognition

Materials on context recognition

cudnn7_0

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

dsdv

elmo-bcn

使用ELMO做预处理模型生成词向量，使用BCN网络对SST情感数据集进行分类（华为晟腾模型复现项目）

fedmat

Federated Multi-Task Attention for Cross-Individual Human Activity Recognition

k-emocon_supplementarycodes

Supplementary codes for the K-EmoCon dataset

machinelearningstudy

neo4jd3

Neo4j graph visualization using D3.js

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

sklearn-ml

各种机器学习方法在sklearn中的使用-菜菜的机器学习sklearn课堂

sklearn_demo

scikit-learn库学习记录

stress_affect_detection

Stress and Affect detection using WESAD dataset

studentlife-stressdetection-ml-framework

Framework for stress detection from StudentLife DataSet

studentlyfe

My exploration and related shenaniganry on the dataset from the paper "StudentLife: Assessing Mental Health, Academic Performance and Behavioral Trends of College Students using Smartphones"

tensorflow-101

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

wesad

E4 data, EDA stress detection