Playing with MNIST. Machine Learning. Generative Models.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Deep learning for recommender systems
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
TensorFlow 101: Introduction to Deep Learning
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Awesome Generative Adversarial Networks with tensorflow
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
