44 Repos
Advanced tools that leverage neural networks and AI for password guessing.
Explore 44 awesome GitHub repositories matching part of an awesome list · Machine Learning Models. Refine with filters or upvote what's useful.
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
Comprehensive machine learning tutorial and code repository.
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
Code and resources for machine learning in trading.
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
Reinforcement learning framework for trading systems.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Curated list of AI applications in the financial sector.
Dieses Projekt ist eine Sammlung prädiktiver Modelle und quantitativer Tools für die Aktienkursprognose. Es implementiert eine Vielzahl von Machine-Learning-Architekturen, einschließlich Generative Adversarial Networks, Long Short-Term Memory Networks und Sprachmodellen für die Finanzanalyse. Das System zeichnet sich dadurch aus, dass es Zeitreihenprognosen mit Natural Language Processing kombiniert, um Finanznachrichten in numerische Sentiment-Scores umzuwandeln. Es integriert zudem die Generierung synthetischer Marktdaten und eine automatisierte Hyperparameter-Optimierung mittels Bayes- und Reinforcement-Learning-Methoden, um Vorhersagefehler zu reduzieren. Die Codebasis deckt ein breites Spektrum an quantitativen Finanzfunktionen ab, einschließlich Signalzerlegung mittels Fourier-Transformationen und Daten-Denoising durch autoregressive Modelle. Sie bietet zudem Utilities für die Berechnung technischer Indikatoren, das Ranking der Feature-Wichtigkeit und die Integration externer Wirtschaftsindizes.
AI models including GANs for stock market analysis.
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Code examples for algorithmic trading with Python.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Deep learning library for stock market prediction.
List of awesome resources for machine learning-based algorithmic trading
Curated list of deep learning resources for 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).
Deep reinforcement learning framework for portfolio management.
Machine Learning in Asset Management (by @firmai)
Machine learning resources for asset management.
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.
Experiments in algorithmic trading using deep learning.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Quantitative trading models using deep learning.
Deep learning framework for portfolio optimization.
Environment for reinforcement-learning algorithmic trading models
Trading environment for reinforcement learning models.
Technical experimentations to beat the stock market using deep learning.
Deep learning experiments for stock market prediction.
Reinforcement Learning for Portfolio Management
Reinforcement learning framework for portfolio management.
Machine-learn password mangling rules!
Discovers optimal mangling rules for dictionary-based cracking tools.
Javier Rando 1 , Fernando Perez-Cruz 1,2 and Briland Hitaj 3
Employs a GPT-2 model trained on leaked data for password generation.
RNN password cracking
Utilizes character-level recurrent neural networks to predict passwords.
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…
End-to-end price estimation model for rental listings.