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Eltheren's Projects

autocard icon autocard

浙大健康打卡的学习交流项目

barra_cne5 icon barra_cne5

Provide risk forecasts by Barra China Equity Model

bayesopt-lv icon bayesopt-lv

Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)

gpt2-pytorch icon gpt2-pytorch

Extremely simple and understandable GPT2 implementation with minor tweaks

hist icon hist

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

lightnlp icon lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

st-causalconvnet icon st-causalconvnet

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

torch_base icon torch_base

Quickly bring up your PyTorch project(a skeleton)

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