shazzad-hasan/deep-learning-with-pytorch

Small deep learning projects for continual learning.

PyTorch-101: Foundation of PyTorch

Computer Vision

• Image Classification
  • MNIST Dataset [MLP]
  • CIFAR-10 Dataset [CNN]
  • Cats vs Dogs Dataset [Fixed feature extractor]
  • Hymenoptera Dataset [Fixed feature extractor]
• Image Segmentation
• Object Detection
  • Vegetable Dataset [Fixed feature extractor]
  • Penn-Fudan Database [Fine-tuning Mask R-CNN]

Generative

• Autoencoder
  • MNIST Dataset [Linear, Denoising]
• VAE
  • MNIST Dataset [Linear, Convolutional]
• GAN
  • MNIST Dataset [GAN]
  • CelebFaces (CelebA) Dataset [DCGAN]
• Neural Style Transfer

NLP

• Text Classification
  • SMS Spam Collection Dataset [RNN & LSTM]
  • Name Dataset [Character-Level RNN]
• Content Filtering
• Sentiment Analysis
  • Sentiment140 Dataset [Bidirectional RNN]
• Language Modeling
  • Anna Karenina Book Dataset [Character-Level LSTM]
• Translation
• Summarization