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Name: lin-shenhe
Type: User
Name: lin-shenhe
Type: User
该仓库尝试整理推荐系统领域的一些经典算法模型
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
keras implement of transformers for humans
参考bert4keras的pytorch实现
BERT distillation(基于BERT的蒸馏实验 )
Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit
decentralising the Ai Industry, just some language model api's...
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.
Mathematical derivation and pure Python code implementation of machine learning algorithms.
MDCEV model in Matlab
机器学习(Machine Learning, ML)python简洁实现,包括混合高斯模型,KMeans,决策树,随机森林,K近邻,线性判别分析,逻辑斯蒂回归(梯度下降法,牛顿法),多层感知机(分类+回归),Naive Bayes(离散+高斯),多分类SVM,线性回归,隐马尔可夫模型(包括前向算法,后向算法,Viterbi算法和BaumWelch算法),主成分分析等模型
Scalable and user friendly neural :brain: forecasting algorithms.
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。
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
基于word2vec预训练词向量; textCNN 模型 ;charCNN 模型 ;Bi-LSTM模型;Bi-LSTM + Attention 模型 ;Transformer 模型 ;ELMo 预训练模型 ;BERT 预训练模型的文本分类项目
Machine learning, in numpy
🚂 12306 购票助手,支持集群,多账号,多任务购票以及 Web 页面管理
A python package for estimating conditional logit models.
A Library for Advanced Deep Time Series Models.
使用XLNet进行文本多标签分类
Using XLNet as Embedding of Keras
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.