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A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
A high-throughput and memory-efficient inference and serving engine for LLMs
build ai agents that have the full context, open source, runs locally, developer friendly. 24/7 screen, mic, keyboard recording and control
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
A version of the Temporal Fusion Transformer in TF2 that is lightweight, utilizes Keras layers, and ultimately readable and modifiable.
Probabilistic time series modeling in Python
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
[NeurIPS 2024] Continuous Temporal Domain Generalization
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the …
Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)
MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross_time Correlations
A Beautiful Private and Secure Desktop Investment Tracking Application
A Deep Reinforcement Learning Challenge on Forex Portfolio Management
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Chat first code editor. To download the packaged app:
Large Language Model-based Stock Trading in Simulated Real-world Environments