Merge branch 'master' of https://github.com/Coderx7/A-Quick-and-Simple-Pytorch-Tutorial

Author: Coderx7

README.md

@@ -1,2 +1,51 @@
 # A-Quick-and-Simple-Pytorch-Tutorial
 This repo will contain simple tutorials for getting familiar with Pytorch quickly for beginners. 
+This actually acts as a personal note for myself as well, as I review my old recollection of different algorithms and concepts
+in Pytorch. I tried to explain everything so in case later on I forget something, I can quickly recall it or see  the refs I 
+find useful. 
+I'll tidy things up when I get the time, the following section will be updated as I finish different parts. 
+Some sections are already done (e.g. syle transfer, RNNs, GANs, but they need full explanations, so when that is done, I'll push the changes to this repo. 
+Hope this comes handy to some of you dear fellow software engineers/deeplearning researchers. 
+Have a wonderful day/night :)
+
+Subjcts : 
+- [x] Introduction to Pytorch basics
+- [x] Introduction on Networks:
+  - [x] training and testing (including augmentation)
+  - [x] changing and finetuning architectures
+  - [x] saving and loading models
+- Autoencoders
+  - [x] Autoencoder(AE)
+  - [x] Deep MLP Autoencoder(MLPAE)
+  - [x] Convolutional Autoencoder(ConvAE)
+  - [x] Sparse Autoencoder(SAE) (l1penalty, kldivergance)
+  - [x] Denoising Autoencoder(DAE)
+  - [x] Contractive Autoencoder(CAE)
+  - [x] Variational Autoencoder(VAE)
+  - [x] Conditional Variational Autoencoder(Cond-VAE)
+  - [x] Disentagled(beta) Variational Autoencoder(B-VAE)
+  - To do: 
+    - Sequence to Sequence Autoencoder
+    - Cyclical Annealing Schedule 
+- [x] MultiTask Learning 
+- [ ] GANs (GAN, DCGAN, CGAN, CycleGAN, StarGAN, StyleGAN, WGAN, etc) 
+- [ ] RNNs(RNN, LSTM, GRU) (NLP and Vision)
+  - [ ] Text Generation
+  - [ ] Sentiment Analysis 
+  - [ ] Seq2Seq
+  - [ ] Attention Mechanism 
+  - [ ] Transformers
+  - [ ] Image Captioning 
+  - [ ] CTC Loss
+  - [ ] Word Embedding 
+  - [ ] NER(Named Entity Recognition) 
+  - [ ] Misc 
+- [ ] Style transfer 
+- [ ] Adversarial Attacks (Examples)
+- [ ] Object Detection 
+- [ ] Semantic Segmentation 
+- [ ] Siamese Networks 
+- [ ] Autograd introduction 
+- [ ] Datasets Introduction 
+- Misc
+  - [ ] Concepts