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learning-rate-scheduling

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Lightweight-Transformer

[PENDING] A lightweight but efficient Transformer model for accurate univariate stock price forecasting, designed for real-time trading applications. This project transforms the vanilla Transformer architecture for higher-precision financial time series analysis with minimal computational demands.

  • Updated Jul 16, 2024
  • Jupyter Notebook

Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.

  • Updated Oct 5, 2021
  • Python

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