ML/DL - IIT Bombay Course

TensorFlow | Keras | PyTorch

Code repository for IIT Bombay ML/DL course (2021).

Contents of the code repository:

Machine Learning part:

1. Linear Regression - Includes SkLearn-based implementation and code from scratch.
2. Logistic Regression - Includes SkLearn-based implementation and code from scratch.
3. K Nearest Neighbors classifier
4. K Means clustering - Code to handle a segmentation task.
5. Decision tree classifier
6. Naive Bayes
7. Support vector machine classifier

Deep Learning part:

1. Fully connected networks
2. Convolutional neural networks - For both image and NLP.
3. Recurrent neural network - For NLP.
4. VGG Net - Using pretrained network and finetuning and its implementation from scratch.
5. Speech and NLP tasks
6. Image captioning - Using transformers.
7. Image to image translation - Using conditional GANs.
8. Machine translation of language - Using transformers.
9. Multitask learning.
10. Autoencoder for image denoising.
11. VAE for mnist.
12. U Net for image segmentation.
13. RCNN for airplane detection.