Repo containing experiments and implementation of various Deep Learning works that I've studied and implemented.
(In vanilla pytorch)
- Vanilla Transformer
- Attention with Linear biases
- Vision Transformers
- Diffusion model (DDP)
- Linear regression
- Logistic regression
- PCA
- SGD classifier
- Perceptron
- SVM
- Gradient Descent
- Backpropagation
- CNN (in C++ using tiny-dnn) for Traffic Sign Classification