Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network ba…

This project is to develop tools for investment decision-making and make investment analysis using data science techniques.

Portfolio Optimization

ML Application of Algorithmic Trading

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

A Chinese NLP library based on BERT for sentiment analysis and general-purpose Chinese word segmentation. | 基于 BERT 的中文 NLP 库，用于中文情感倾向分析、通用领域中文分词。

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text

中文情感分析，CNN，BI-LSTM，文本分类

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

Hands-On Machine Learning with C++, published by Packt

DyNet: The Dynamic Neural Network Toolkit

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

A python3 library for evaluating caption's BLEU, Meteor, CIDEr, SPICE，ROUGE_L，WMD score. Fork from https://github.com/ruotianluo/coco-caption

“互联网新闻情感分析”赛题，是CCF大数据与计算智能大赛赛题之一。对新闻情绪进行分类，0代表正面情绪、1代表中性情绪、2代表负面情绪。

使用 Go 和 ReactJS 构建聊天应用系列教程

Kite Autocomplete Plugin for Visual Studio Code

A simple python implementation of neural network from scratch.

Experimenting with different regression losses. Implemented in Pytorch.

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

搜索所有中文NLP数据集，附常用英文NLP数据集

C++ Trading Algorithm Backtest Environment

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Official implementation of Earthformer

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"