Pinned Loading

1. Deep-learning-study Deep-learning-study Public

   Developed and implemented fundamental neural network architectures, including Feedforward Neural Networks (FNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), from scrat…

   Python

2. Diffusion-Models Diffusion-Models Public

   Implemented and trained Denoising Diffusion Probabilistic Models (DDPMs) from scratch on CIFAR-10 using PyTorch, including forward and reverse sampling processes. Explored alternative beta schedule…

   Python

3. Energy-based-Models Energy-based-Models Public

   Developed a PyTorch EBM to model a historical glyph dataset of early letterpress characters, using SGLD and reservoir sampling for stable training. Implemented a JEM to integrate generative and pre…

   Python

4. VisionTransformer-and-Cross-ViT VisionTransformer-and-Cross-ViT Public

   About Implemented and extended image classification models using PyTorch, starting with a baseline ResNet18 on the CIFAR-10 dataset. Enhanced performance through data augmentation and model checkpo…

   Python