Awesome GitHub RepositoriesMachine Learning Models

This project is a structured educational curriculum designed to guide developers through the fundamentals of machine learning. It functions as a technical skill builder, offering a curated roadmap of progressive coding challenges that cover core algorithms, statistical concepts, and essential data science libraries. The repository distinguishes itself through an iterative sequencing of content, organizing complex technical topics into a daily progression that facilitates incremental mastery. It integrates third-party academic lectures and educational resources to provide necessary theoretical

This project is a comprehensive framework for engineering financial data pipelines, designed to automate the collection, cleaning, and synchronization of large-scale market datasets. It functions as a quantitative trading data engine, providing the infrastructure necessary to manage historical and real-time asset pricing information for research and machine learning workflows. The system distinguishes itself through a configuration-driven approach to orchestration, allowing users to manage complex data acquisition tasks across multiple financial providers. It features resilient middleware tha

TensorTrade is a reinforcement learning trading framework designed for training and deploying autonomous agents that optimize financial market strategies. It provides an algorithmic trading simulation environment where agents can be tested against market data using simulated broker environments. The framework features a distributed training system using RLlib to optimize decision policies across large datasets. It includes a walk-forward validation tool that evaluates trading strategies through windowed performance analysis to prevent overfitting and measure real-world viability. The project

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

该项目是一系列用于股票价格预测的预测模型和定量工具。它实现了多种机器学习架构，包括生成对抗网络（GAN）、长短期记忆网络（LSTM）以及用于金融分析的语言模型。 该系统的独特之处在于将时间序列预测与自然语言处理相结合，将金融新闻转换为数值情感分数。它还结合了合成市场数据生成，以及使用贝叶斯和强化学习方法进行自动超参数优化，以减少预测误差。 该代码库涵盖了广泛的定量金融功能，包括通过傅里叶变换进行的信号分解和通过自回归模型进行的数据去噪。它还提供了用于技术指标计算、特征重要性排序以及集成外部经济指数的工具。

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

List of awesome resources for machine learning-based algorithmic trading

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Machine Learning in Asset Management (by @firmai)

Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more sophisticated algorithms and their ensembles with different features, check their performance, train a trading strategy and go live.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Environment for reinforcement-learning algorithmic trading models

Technical experimentations to beat the stock market using deep learning.

Reinforcement Learning for Portfolio Management

Machine-learn password mangling rules!

Javier Rando 1 , Fernando Perez-Cruz 1,2 and Briland Hitaj 3

RNN password cracking

In today's fast-paced world, the way we travel and seek accommodations has undergone a remarkable transformation, thanks to platforms like Airbnb. This dynamic marketplace has empowered property owners and travellers, offering a diverse range of lodging options. However, one enduring challenge…