Stars
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The Munich Open-Source Large-Scale Multimedia Feature Extractor
Python GUI Programming with Tkinter, published by Packt
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning, published by Packt
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Learn Julia via interactive tutorials!
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A curated list of articles that cover the software engineering best practices for building machine learning applications.
Questions to ask the company during your interview
Document clustering using Density Based Spatial Clustering (DBSCAN) [undergrad NLP class project 2015@TU]