lab-ml/nn

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

Single cell current best practices tutorial case study for the paper:Luecken and Theis, “Current best practices in single-cell RNA-seq analysis: a tutorial”

Natural Language Processing Tutorial for Deep Learning Researchers

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..

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.