使用用于私有LLM的e5向量嵌入模型的Llama模型的检索增强生成（RAG）
Retrieval Augmented Generation (RAG) for Llama models using e5 vector embedding model for private LLM usage (2023-07-24, Jupyter Notebook, 0KB, 下载0次)
ADRL A1自动编码器和可变自动编码器
ADRL A1 AutoEncoder and Variational AutoEncoders (2023-11-17, Jupyter Notebook, 0KB, 下载0次)
在测试数据上的数字预测精度超过97%。，
digit prediction with more than 97 percent accuracy on test data., (2023-09-16, Jupyter Notebook, 0KB, 下载0次)
在kaggle竞争数据集上训练，准确率为97.974%
Trained on kaggle competition dataset with an accuracy of 97.974 % (2019-09-15, Jupyter Notebook, 903KB, 下载0次)
使用TensorFlow 2.0检测枪击的音频分类深度学习模型。测试集准确率97.5%，跟踪率99%...
Audio classification deep learning model using TensorFlow 2.0 to detect Gunshots. 97.5% test set accuracy and 99% training set accuracy was achieved on Binary-Urban8K. This work was done during my summer internship at TUKL-NUST lab. (2020-02-16, Jupyter Notebook, 3842KB, 下载0次)