abhshkdz/ai-deadlines

• lixin4ever/conference-acceptance-rate

  lixin4ever/Conference-Acceptance-Rate

  4,757GitHub पर देखें↗

  This project is an academic competition tracker and metrics repository that provides historical submission and acceptance rates for major artificial intelligence research conferences. It serves as a dataset of AI conference statistics to monitor research competition trends. The repository enables the tracking of conference acceptance rates to analyze historical data, evaluate publication competitiveness, and monitor year-over-year growth in submission volumes across machine learning venues. The project is implemented as a static site that uses markdown-based data storage and schema-driven pa

  Jupyter Notebook

  GitHub पर देखें↗4,757
• jindongwang/transferlearning

  jindongwang/transferlearning

  14,279GitHub पर देखें↗

  This project is a community-driven academic resource index and knowledge base dedicated to the study of transfer learning and domain adaptation. It functions as a curated repository of scholarly materials, including academic papers, tutorials, datasets, and benchmarks, designed to support research into how machine learning models apply knowledge from one task to another. The repository organizes these resources into a hierarchical taxonomy to facilitate the discovery of specialized methodologies. By leveraging distributed version control, the project maintains an evolving archive of research

  Pythondeep-learningdomain-adaptationdomain-adaption

  GitHub पर देखें↗14,279
• goodfeli/adversarial

  goodfeli/adversarial

  4,074GitHub पर देखें↗

  This project is a generative adversarial network implementation and research framework. It provides the tools and hyperparameters necessary to train and evaluate generative models across various datasets, specifically designed to reproduce results from academic research. The framework includes a Parzen density likelihood estimator to calculate model log likelihood. This allows for the quantitative evaluation of generative distributions and the measurement of overall model performance. The codebase covers machine learning research capabilities, focusing on the training of adversarial networks

  Python

  GitHub पर देखें↗4,074
• oucmachinelearning/oucml

  OUCMachineLearning/OUCML

  4,602GitHub पर देखें↗

  OUCML is a machine learning research curator and automated data curation tool. It provides a collection of structured research papers, code samples, and study guides designed for mastering complex data science concepts. The project includes a generative adversarial network training framework that uses generator and discriminator models to iteratively refine synthetic data. It also functions as a tensor-based computation library for performing high-dimensional matrix operations to accelerate neural network training. The system covers machine learning education and research curation by aggrega

  Python

  GitHub पर देखें↗4,602

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