lancewliang
Follow
Stars
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
FinRL-Meta: Dynamic datasets and market environments for FinRL.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Neural Networks from Scratch in various programming languages
Generative Agents: Interactive Simulacra of Human Behavior
An Open-Ended Embodied Agent with Large Language Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
国立台湾大学李宏毅老师讲解的深度强化学习学习笔记
Replication of "(Re-)Imag(in)ing Price Trends" (Chicago Booth Research Paper No. 21-01) in the Chinese Stock Market
Implementing a Generative Adversarial Network on the Stock Market
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…
time-series prediction using LSTM and WGAN(LSTM+CNN)
Use metropolis hasting to enhance gan on stock prediction
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method th…
基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks
Everything you need to prepare for your technical interview