Deep-Learning-Implementation

This repository contains the labs and assignments done as a part of the coursework CSL4020 Deep Learning under the supervision of Dr. Mayank Vatsa.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Assignment 1 - CNN and Regularization		Assignment 1 - CNN and Regularization
Assignment 2 - Multi-Task-Learning		Assignment 2 - Multi-Task-Learning
Assignment 3 - DCGAN and StyleGAN		Assignment 3 - DCGAN and StyleGAN
CNN and Autoencoder Implementation and Comparison		CNN and Autoencoder Implementation and Comparison
Lab 1 Perceptron and MLPClassifier		Lab 1 Perceptron and MLPClassifier
Lab 2 Autoencoders		Lab 2 Autoencoders
Lab 3 Optimizers		Lab 3 Optimizers
Lab 4 RNNs		Lab 4 RNNs
Lab 5 Dockerization		Lab 5 Dockerization
Lab 6 Profiling, Torchscript, ONNX		Lab 6 Profiling, Torchscript, ONNX
Lab 7 Slurm		Lab 7 Slurm
Lab 8 Wandb		Lab 8 Wandb
Lab 9 Data and DistributedData Parallelism		Lab 9 Data and DistributedData Parallelism
Lab Assignment 1 ResNet18 and Greedy layer-wise pre-training using AEs		Lab Assignment 1 ResNet18 and Greedy layer-wise pre-training using AEs
Lab Assignment 2 Transformers		Lab Assignment 2 Transformers
Lab Assignment 3 cdcGAN and Optuna		Lab Assignment 3 cdcGAN and Optuna
Student Teacher Model		Student Teacher Model
README.md		README.md

ayushabrol13/Deep-Learning-Implementation