DDE-1/Generative-learning.md

@@ -13,6 +13,10 @@ _C. Ates_
 ### Illustrative examples
 
 * [This person does not exist](https://thispersondoesnotexist.com/)
+* [GAN Lab](https://poloclub.github.io/ganlab/)
+* [GAN Playground](https://reiinakano.com/gan-playground/)
+* [gaugan2](http://gaugan.org/gaugan2/)
+
 * [Magenta Studio](https://magenta.tensorflow.org/)
 * [MuseNet: deep neural network that can generate 4-minute musical compositions](https://openai.com/blog/musenet/)
 
@@ -22,6 +26,9 @@ _C. Ates_
 * [Human face: stylegan2 -- Official TensorFlow Implementation](https://github.com/NVlabs/stylegan2)
 * [DALL·E: Creating Images from Text](https://openai.com/blog/dall-e/)
 * [GAN Zoo:compiling all named GANs](https://github.com/hindupuravinash/the-gan-zoo)
+* [GANs with Keras and TensorFlow](https://www.pyimagesearch.com/2020/11/16/gans-with-keras-and-tensorflow/)
+* [GANs with Python: Number generator](https://stackabuse.com/introduction-to-gans-with-python-and-tensorflow/)
+* [Image-to-Image Translation](https://phillipi.github.io/pix2pix/)
 
 **Music related**
 
@@ -30,11 +37,17 @@ _C. Ates_
 * [MuseGAN is a project on music generation](https://github.com/salu133445/musegan)
 * [Music generation notebooks](https://magenta.tensorflow.org/demos/colab/)
 * [Using TensorFlow 2.0 to Compose Music](https://www.datacamp.com/community/tutorials/using-tensorflow-to-compose-music)
-* []()
+
 
 _Colab notebooks:_
 
 * [Making music with Magenta](https://colab.research.google.com/notebooks/magenta/hello_magenta/hello_magenta.ipynb)
+* [style gan](https://github.com/jeffheaton/present/blob/master/youtube/style_gan.ipynb)
+* [Merry GAN-mas](https://colab.research.google.com/github/jeffheaton/present/blob/master/youtube/gan/merry_gan_mas.ipynb#scrollTo=nTYnTqOPtCfy)
+* [Piano roll](https://jovian.ai/vivek1barnwal/gan)
+* [TF DCGAN](https://www.tensorflow.org/tutorials/generative/dcgan)
+* [pix2pix](https://github.com/bnsreenu/python_for_microscopists/blob/master/252_generating_realistic_scientific_images_using_pix2pix/pix2pix_model.py)
+* [248-cifar_GAN](https://github.com/bnsreenu/python_for_microscopists/blob/master/248_keras_implementation_of_GAN/248-cifar_GAN.py)
 
 
 ## Research papers:
@@ -46,8 +59,8 @@ _Colab notebooks:_
 * [GANs for Improved Quality, Stability, and Variation](https://arxiv.org/abs/1710.10196)
 * [The Earth Mover's Distance](http://infolab.stanford.edu/pub/cstr/reports/cs/tr/99/1620/CS-TR-99-1620.ch4.pdf)
 *[Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer](https://openreview.net/forum?id=S1fQSiCcYm)
-* []()
-* []()
+* [Identify and Diagnose GAN Failure Modes](https://machinelearningmastery.com/practical-guide-to-gan-failure-modes/)
+* [1D Generative Adversarial Network From Scratch](https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-1-dimensional-function-from-scratch-in-keras/)
 * []()
 
 **Science applications**
@@ -71,6 +84,11 @@ cell types, studies and species](https://www.biorxiv.org/content/10.1101/478503v
 
 * [Mutopia](https://www.mutopiaproject.org/)
 * [GTZAN Dataset](https://www.kaggle.com/andradaolteanu/gtzan-dataset-music-genre-classification?select=Data)
+* [Pypianoroll](https://salu133445.github.io/pypianoroll/)
+* [Lakh Pianoroll Dataset](https://salu133445.github.io/lakh-pianoroll-dataset/)
+* [MIDI to Image conversion](https://github.com/mathigatti/midi2img)
+* [Classical piano](http://www.piano-midi.de/midi_files.htm)
+* [Stanford University Piano Roll Archive](https://supra.stanford.edu/download/)
 
 ## Videos