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  1. HF-NMT-Advanced-Neural-Machine-Translation-with-Hugging-Face-Transformers HF-NMT-Advanced-Neural-Machine-Translation-with-Hugging-Face-Transformers Public

    HF-NMT is an advanced neural machine translation project that leverages Hugging Face's Transformers library and state-of-the-art techniques to achieve high-quality translations between multiple lan…

    Python 1

  2. StyleGAN3-nerual-network StyleGAN3-nerual-network Public

    This project implements a state-of-the-art generative adversarial network (GAN) called StyleGAN2 for high-quality image generation. StyleGAN2 is capable of generating realistic and diverse images b…

    Python

  3. MoRA-High-Rank-Matrix-Adaptation-for-Parameter-Efficient-Fine-Tuning-of-Large-Language-Models MoRA-High-Rank-Matrix-Adaptation-for-Parameter-Efficient-Fine-Tuning-of-Large-Language-Models Public

    MoRA is a novel technique for parameter-efficient fine-tuning of large language models (LLMs) using matrix of rank adaptation. It enables effective adaptation of pre-trained LLMs to downstream task…

    Python 2

  4. Transformer-based-Regression-Model-using-BERT Transformer-based-Regression-Model-using-BERT Public

    ShallowReLURegression is a machine learning project focusing on nonparametric regression using over-parameterized shallow ReLU neural networks. This project implements a shallow neural network arch…

    Python 1

  5. NeuroNexus-Ultra-Advanced-Language-Model-Algorithm NeuroNexus-Ultra-Advanced-Language-Model-Algorithm Public

    NeuroNexus is a cutting-edge, theoretical implementation of an advanced artificial intelligence system. It combines concepts from quantum computing, neuroscience, and state-of-the-art machine learn…

    Python

  6. Adaptive-Language-Modeling-for-Dynamic-Few-Shot-Tasks Adaptive-Language-Modeling-for-Dynamic-Few-Shot-Tasks Public

    This project implements a dynamic few-shot learning approach using PyTorch and Transformers, focusing on solving mathematical problems such as addition, subtraction, multiplication, and division. T…

    Python