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Back to georgezouq/awesome-ai-in-finance

Open-source alternatives to Awesome Ai In Finance

30 open-source projects similar to georgezouq/awesome-ai-in-finance, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Awesome Ai In Finance alternative.

  • christoschristofidis/awesome-deep-learningAvatar de ChristosChristofidis

    ChristosChristofidis/awesome-deep-learning

    27,569Voir sur GitHub↗

    This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and

    awesomeawesome-listdeep-learning
    Voir sur GitHub↗27,569
  • josephmisiti/awesome-machine-learningAvatar de josephmisiti

    josephmisiti/awesome-machine-learning

    72,867Voir sur GitHub↗

    This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr

    Python
    Voir sur GitHub↗72,867
  • jtoy/awesome-tensorflowAvatar de jtoy

    jtoy/awesome-tensorflow

    17,539Voir sur GitHub↗

    TensorFlow - A curated list of dedicated resources http://tensorflow.org

    Voir sur GitHub↗17,539

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kjw0612/awesome-deep-visionAvatar de kjw0612

kjw0612/awesome-deep-vision

11,167Voir sur GitHub↗

A curated list of deep learning resources for computer vision

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  • jbhuang0604/awesome-computer-visionAvatar de jbhuang0604

    jbhuang0604/awesome-computer-vision

    23,074Voir sur GitHub↗

    This project is a comprehensive, community-driven repository that serves as a centralized catalog for computer vision research and development. It functions as a structured index of academic papers, open-source software libraries, public datasets, and educational tutorials, providing a navigation point for the complex landscape of modern vision technology. The repository distinguishes itself through a taxonomy-based indexing system that maps the relationships between foundational research, influential academic figures, and their corresponding software implementations. By utilizing a lightweig

    Voir sur GitHub↗23,074
  • academic/awesome-datascienceAvatar de academic

    academic/awesome-datascience

    29,416Voir sur GitHub↗

    This project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data science resources. It provides a structured index of educational materials, software packages, and professional development tools designed to support both students and practitioners in navigating the data science landscape. The repository distinguishes itself through a hierarchical taxonomy that organizes a vast collection of external links into a human-readable, markdown-based document. By relying on distributed contributions, the project maintains an up-to-date snapshot of the fi

    analyticsawesome-listdata-mining
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  • jyguyomarch/awesome-conversational-aiAvatar de jyguyomarch

    jyguyomarch/awesome-conversational-ai

    296Voir sur GitHub↗

    A curated list of delightful Conversational AI resources.

    aiawesomeawesome-list
    Voir sur GitHub↗296
  • altamiracorp/awesome-xaiAvatar de altamiracorp

    altamiracorp/awesome-xai

    190Voir sur GitHub↗

    Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

    awesomeawesome-listexplanations
    Voir sur GitHub↗190
  • aaronhma/awesome-tensorflow-jsAvatar de aaronhma

    aaronhma/awesome-tensorflow-js

    186Voir sur GitHub↗

    Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

    awesomeawesome-listmachine-learning
    Voir sur GitHub↗186
  • dav009/awesome-spanish-nlpAvatar de dav009

    dav009/awesome-spanish-nlp

    351Voir sur GitHub↗

    Curated list of Linguistic Resources for doing NLP & CL on Spanish

    Voir sur GitHub↗351
  • bharathgs/awesome-pytorch-listAvatar de bharathgs

    bharathgs/Awesome-pytorch-list

    16,547Voir sur GitHub↗

    Awesome-Pytorch-list

    Voir sur GitHub↗16,547
  • steven2358/awesome-generative-aiAvatar de steven2358

    steven2358/awesome-generative-ai

    12,151Voir sur GitHub↗

    This project serves as a comprehensive, curated directory of resources, tools, and platforms dedicated to the generative artificial intelligence ecosystem. It functions as a central hub for developers and researchers to discover the frameworks, models, and services necessary for building, deploying, and managing intelligent software applications. The directory distinguishes itself by providing a structured index of specialized tooling across several technical domains. It covers the full lifecycle of generative AI, including the development of autonomous agent systems, the implementation of re

    aiartificial-intelligenceawesome
    Voir sur GitHub↗12,151
  • ujjwalkarn/machine-learning-tutorialsAvatar de ujjwalkarn

    ujjwalkarn/Machine-Learning-Tutorials

    17,909Voir sur GitHub↗

    This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers

    awesomeawesome-listdeep-learning
    Voir sur GitHub↗17,909
  • terryum/awesome-deep-learning-papersAvatar de terryum

    terryum/awesome-deep-learning-papers

    26,151Voir sur GitHub↗

    The most cited deep learning papers

    TeXdeep-learningdeep-neural-networksmachine-learning
    Voir sur GitHub↗26,151
  • edobashira/speech-language-processingAvatar de edobashira

    edobashira/speech-language-processing

    2,229Voir sur GitHub↗

    A curated list of speech and natural language processing resources

    Voir sur GitHub↗2,229
  • seriousran/awesome-qaAvatar de seriousran

    seriousran/awesome-qa

    769Voir sur GitHub↗

    😎 A curated list of the Question Answering (QA)

    awesomeawesome-listbert
    Voir sur GitHub↗769
  • owainlewis/awesome-artificial-intelligenceAvatar de owainlewis

    owainlewis/awesome-artificial-intelligence

    12,960Voir sur GitHub↗

    This project is a comprehensive repository and curated index of resources, research papers, and development frameworks designed to support the construction and deployment of intelligent systems. It serves as a centralized knowledge base for developers seeking to navigate the technical landscape of artificial intelligence, ranging from foundational educational materials to specialized implementation guides. The repository distinguishes itself by providing structured directories for comparing generative artificial intelligence providers, including aggregated performance metrics, pricing data, a

    aiartificial-intelligencedeep-learning
    Voir sur GitHub↗12,960
  • arbox/machine-learning-with-rubyAvatar de arbox

    arbox/machine-learning-with-ruby

    2,215Voir sur GitHub↗

    Curated list: Resources for machine learning in Ruby

    Rubyawesomeawesome-listlist
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  • se-ml/awesome-semlAvatar de SE-ML

    SE-ML/awesome-seml

    1,358Voir sur GitHub↗

    A curated list of articles that cover the software engineering best practices for building machine learning applications.

    awesomeawesome-listdeep-learning
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  • benedekrozemberczki/awesome-monte-carlo-tree-search-papersAvatar de benedekrozemberczki

    benedekrozemberczki/awesome-monte-carlo-tree-search-papers

    707Voir sur GitHub↗

    A curated list of Monte Carlo tree search papers with implementations.

    Python
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  • joho/awesome-code-reviewAvatar de joho

    joho/awesome-code-review

    5,067Voir sur GitHub↗

    An "Awesome" list of code review resources - articles, papers, tools, etc

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    Voir sur GitHub↗5,067
  • harpribot/awesome-information-retrievalAvatar de harpribot

    harpribot/awesome-information-retrieval

    1,193Voir sur GitHub↗

    A curated list of awesome information retrieval resources

    Voir sur GitHub↗1,193
  • awesomedata/awesome-public-datasetsAvatar de awesomedata

    awesomedata/awesome-public-datasets

    75,979Voir sur GitHub↗

    This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that

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    Voir sur GitHub↗75,979
  • ahundt/awesome-roboticsAvatar de ahundt

    ahundt/awesome-robotics

    1,396Voir sur GitHub↗

    A curated list of awesome links and software libraries that are useful for robots.

    Voir sur GitHub↗1,396
  • benedekrozemberczki/awesome-decision-tree-papersAvatar de benedekrozemberczki

    benedekrozemberczki/awesome-decision-tree-papers

    2,473Voir sur GitHub↗

    A collection of research papers on decision, classification and regression trees with implementations.

    Python
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  • binhnguyennus/awesome-scalabilityAvatar de binhnguyennus

    binhnguyennus/awesome-scalability

    71,779Voir sur GitHub↗

    This project is a curated knowledge repository that aggregates high-quality resources, technical documentation, and expert insights focused on distributed systems engineering. It serves as a community-driven learning resource designed to help developers navigate the complexities of building and maintaining large-scale software applications. The repository distinguishes itself through a hierarchical taxonomy that organizes vast amounts of technical information into a structured, searchable format. By utilizing markdown-based content curation and static indexing, the collection remains version-

    architectureawesomeawesome-list
    Voir sur GitHub↗71,779
  • benedekrozemberczki/awesome-fraud-detection-papersAvatar de benedekrozemberczki

    benedekrozemberczki/awesome-fraud-detection-papers

    1,807Voir sur GitHub↗

    A curated list of data mining papers about fraud detection.

    Python
    Voir sur GitHub↗1,807
  • erichs/awesome-awesomeAvatar de erichs

    erichs/awesome-awesome

    290Voir sur GitHub↗

    A curated list of awesome curated lists! Inspired by inspiration.

    Voir sur GitHub↗290
  • emijrp/awesome-awesomeAvatar de emijrp

    emijrp/awesome-awesome

    3,161Voir sur GitHub↗

    A curated list of awesome curated lists of many topics.

    Voir sur GitHub↗3,161
  • f/awesome-chatgpt-promptsAvatar de f

    f/awesome-chatgpt-prompts

    163,835Voir sur GitHub↗

    This project is a curated library of community-driven prompt templates and personas designed to improve interactions with large language models. It functions as a prompt engineering guide, providing interactive tutorials and examples to teach advanced design and reasoning techniques. The library can operate as a Model Context Protocol server, providing a standardized interface for AI tools and agents to access prompt data as a service. For organizations, it offers a self-hosted repository option that allows for private deployment on internal infrastructure with custom authentication and data

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