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44 Repos

Awesome GitHub RepositoriesMachine Learning Models

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.

Awesome Machine Learning Models GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • avik-jain/100-days-of-ml-codeAvatar von Avik-Jain

    Avik-Jain/100-Days-Of-ML-Code

    51,254Auf GitHub ansehen↗

    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.

    100-days-of-code-log100daysofcodedeep-learning
    Auf GitHub ansehen↗51,254
  • stefan-jansen/machine-learning-for-tradingAvatar von stefan-jansen

    stefan-jansen/machine-learning-for-trading

    16,552Auf GitHub ansehen↗

    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.

    Jupyter Notebookartificial-intelligencedata-sciencedeep-learning
    Auf GitHub ansehen↗16,552
  • tensortrade-org/tensortradeAvatar von tensortrade-org

    tensortrade-org/tensortrade

    6,346Auf GitHub ansehen↗

    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.

    Python
    Auf GitHub ansehen↗6,346
  • georgezouq/awesome-ai-in-financeAvatar von georgezouq

    georgezouq/awesome-ai-in-finance

    6,103Auf GitHub ansehen↗

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

    Curated list of AI applications in the financial sector.

    analysisawesomeawesome-list
    Auf GitHub ansehen↗6,103
  • borisbanushev/stockpredictionaiAvatar von borisbanushev

    borisbanushev/stockpredictionai

    5,577Auf GitHub ansehen↗

    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.

    JavaScript
    Auf GitHub ansehen↗5,577
  • chrisconlan/algorithmic-trading-with-pythonAvatar von chrisconlan

    chrisconlan/algorithmic-trading-with-python

    3,405Auf GitHub ansehen↗

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

    Code examples for algorithmic trading with Python.

    Python
    Auf GitHub ansehen↗3,405
  • achillesrasquinha/bulbeaAvatar von achillesrasquinha

    achillesrasquinha/bulbea

    2,296Auf GitHub ansehen↗

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

    Deep learning library for stock market prediction.

    Python
    Auf GitHub ansehen↗2,296
  • cbailes/awesome-deep-tradingAvatar von cbailes

    cbailes/awesome-deep-trading

    1,991Auf GitHub ansehen↗

    List of awesome resources for machine learning-based algorithmic trading

    Curated list of deep learning resources for trading.

    Auf GitHub ansehen↗1,991
  • zhengyaojiang/pgportfolioAvatar von ZhengyaoJiang

    ZhengyaoJiang/PGPortfolio

    1,851Auf GitHub ansehen↗

    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.

    Python
    Auf GitHub ansehen↗1,851
  • firmai/machine-learning-asset-managementAvatar von firmai

    firmai/machine-learning-asset-management

    1,740Auf GitHub ansehen↗

    Machine Learning in Asset Management (by @firmai)

    Machine learning resources for asset management.

    Jupyter Notebookalgorithmic-tradingassets-managementgoogle-colab
    Auf GitHub ansehen↗1,740
  • rachnog/deep-tradingAvatar von Rachnog

    Rachnog/Deep-Trading

    1,457Auf GitHub ansehen↗

    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.

    OpenEdge ABL
    Auf GitHub ansehen↗1,457
  • ceruleanacg/personaeAvatar von Ceruleanacg

    Ceruleanacg/Personae

    1,407Auf GitHub ansehen↗

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

    Quantitative trading models using deep learning.

    Python
    Auf GitHub ansehen↗1,407
  • jankrepl/deepdowAvatar von jankrepl

    jankrepl/deepdow

    1,112Auf GitHub ansehen↗

    Deep learning framework for portfolio optimization.

    Pythonallocationconvex-optimizationdeep-learning
    Auf GitHub ansehen↗1,112
  • hackthemarket/gym-tradingAvatar von hackthemarket

    hackthemarket/gym-trading

    711Auf GitHub ansehen↗

    Environment for reinforcement-learning algorithmic trading models

    Trading environment for reinforcement learning models.

    Jupyter Notebook
    Auf GitHub ansehen↗711
  • keon/deepstockAvatar von keon

    keon/deepstock

    482Auf GitHub ansehen↗

    Technical experimentations to beat the stock market using deep learning.

    Deep learning experiments for stock market prediction.

    Python
    Auf GitHub ansehen↗482
  • filangel/qtraderAvatar von filangel

    filangel/qtrader

    481Auf GitHub ansehen↗

    Reinforcement Learning for Portfolio Management

    Reinforcement learning framework for portfolio management.

    Jupyter Notebook
    Auf GitHub ansehen↗481
  • synacktiv/rulesfinderAvatar von synacktiv

    synacktiv/rulesfinder

    116Auf GitHub ansehen↗

    Machine-learn password mangling rules!

    Discovers optimal mangling rules for dictionary-based cracking tools.

    Rust
    Auf GitHub ansehen↗116
  • javirandor/passgptAvatar von javirandor

    javirandor/passgpt

    95Auf GitHub ansehen↗

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

    Employs a GPT-2 model trained on leaked data for password generation.

    Python
    Auf GitHub ansehen↗95
  • gehaxelt/rnn-passwordsAvatar von gehaxelt

    gehaxelt/RNN-Passwords

    87Auf GitHub ansehen↗

    RNN password cracking

    Utilizes character-level recurrent neural networks to predict passwords.

    Auf GitHub ansehen↗87
  • kalyanmurapaka45/end-to-end-airbnb-price-predictionAvatar von KalyanMurapaka45

    KalyanMurapaka45/End-to-End-Airbnb-Price-Prediction

    64Auf GitHub ansehen↗

    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.

    Jupyter Notebook
    Auf GitHub ansehen↗64
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