This repository contains the code for Deep Learning Concepts and Research Paper Implementations.
All code is written in Python 3 using PyCharm IDE.
1. Python3.5 +
2. Numpy [+mkl for Windows]
3. Matplotlib
| S.No. | Project Name | About | Status |
|---|---|---|---|
| 1. | Basic Neural Network | Implementation of a Basic Feed Forward Neural Network using Python and Numpy. | Completed |
| 2. | Generative Adversarial Network (GAN) | Implementation of Ian Goodfellow's Paper on GAN's. | Completed |
| 3. | Artistic Style Transfer | Implementation of Leon A Gaty's paper for Artifying Images. | Completed |
| 4. | Recurrent Neural Network | Implementation of a basic RNN using Python and Numpy. | Completed |
| 5. | OpenAI Cart-Pole Game Bot | Making a Neural Network learn how to play a Cart-Pole game by OpenAI and win it. | Completed |
| 6. | AI Chatbot | A chatbot that replies to Questions asked based on the Story/Text it has been Trained on. | Completed |
| 7. | RNN Language Model | A RNN model from scratch to show how Language Modelling is done. This code helps generate the new text with correct punctuations, starting and ending words etc. | Completed |
| 8. | CNN Deep Layer Filters Visualization | Implementation to Visualize the Deep Layer Filters of CNN using MNIST Dataset | Completed |
| 9. | Deep Convolutional Generative Adversarial Network | Implementation of DCGAN Paper for MNIST, CIFAR-10 and Celebrity Faces dataset. | Ongoing |
| 10. | AutoEncoders [Linear, Convolutional, Variational] | Implementation of Linear, Convolutional and Variational AutoEncoders. | Ongoing |
| 11. | One Shot Learning with Memory Augmented Neural Networks | Implementation of paper One Shot Learning with Memory Augmented Neural Networks [MANN]". | Ongoing |