Stars
TradingAgents: Multi-Agents LLM Financial Trading Framework
使深信服（Sangfor）开发的非自由的 VPN 软件 EasyConnect 和 aTrust 运行在 docker 或 podman 中，并作为网关和/或提供 socks5、http 代理服务
private repository that test akinterpreter code
Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.
It is suitable for beginners
VIX - Its intuition, numerical method and python implementation
Portfolio Construction models (heuristic based and optimizer based) and helpful analytical tools
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
AGI 社交网络 Bot. BiliBili | 直播聊天数字人 | 视频@自动回复 | 私信bot | 终端聊天 | 语音交互
QuantHao / TabTransformerTF
Forked from aruberts/TabTransformerTFTensorFlow implementation of TabTransformer
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
基于 wechaty 代理微信客户端，接入 MidJourney
Real-time stream processing for python
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
Automatic extraction of relevant features from time series:
OpenFE: automated feature generation with expert-level performance
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
A deep learning framework for symbolic optimization.
Portfolio optimization and back-testing.