Open-source research workspace
Deep Learning Sandbox
Architecture implementations and reproducible experimentation in PyTorch.
Scope
Deep Learning Sandbox brings together paper notes, architecture implementations, and experiments. It covers contrastive image–text learning, autoregressive language modeling, attention, and visual representation learning.
Implementation
The repository includes CLIP, GPT-2, ResNet, DenseNet, Siamese networks, transformers, ViT, and Swin Transformer work. PyTorch implementations sit alongside notebooks and supporting references; experimentation tooling includes PyTorch Lightning, Optuna, and TensorBoard.
Status
This is an evolving research and learning workspace, not a benchmark claim or a production model release. The repository documents the available implementations and experiments.