Early stopping for PyTorch

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, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

An introduction to network analysis and applied graph theory using Python and NetworkX

Ways of doing Data Science Engineering and Machine Learning in R and Python

Human Activity Recognition (HAR) with Keras and CoreML

An intro to Python & programming for wanna-be data scientists

Practice your pandas skills!

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A free tutorial for Apache Spark.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

PyTorch Tutorial (1.7)

Google Colaboratory Notebooks and Repositories (by @firmai)

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..

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

TensorFlow Basic Tutorial Labs

Learn Julia via interactive tutorials!

The hands-on NLTK tutorial for NLP in Python

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Coloring black and white images with deep learning.

Introduction to pandas Treehouse course