DeepLearningAndMachinLearning-Collection

A collection of implementations in Deep Learning and Machine Learning by me. All models have been sanity-checked on a small batch, so they should be ready!

1. ResNet: https://arxiv.org/abs/1512.03385

2. MobileNet: https://arxiv.org/abs/1704.04861

3. MobileNetV2: https://arxiv.org/abs/1801.04381

4. Generalized Linear Models: https://cs229.stanford.edu/lectures-spring2022/main_notes.pdf

5. Gaussian Discriminant Analysis: https://cs229.stanford.edu/lectures-spring2022/main_notes.pdf

6. Deep Neural Networks: https://cs231n.github.io/optimization-2/

7. Variational Autoencoders: https://arxiv.org/abs/1312.6114

8. GPT: https://arxiv.org/abs/2005.14165

9. Vision Transformers (ViT) https://arxiv.org/abs/2010.11929

10. VQVAE https://arxiv.org/pdf/1711.00937.pdf

11. Denoising Diffusion Probabilistic Models adopted from this github repository

12. DINO V1

13. LLaMA borrowed from here

14. DETR adopted from huggingface implementations