TensorFlow 2.x version’s Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0

TensorFlow Basic Tutorial Labs

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Code for a tutorial on Bayesian Statistics by Allen Downey.

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

TensorFlow Tutorials with YouTube Videos

practical guides, tutorials, and code samples for ml4a

PyTorch tutorials demonstrating modern techniques with readable code