This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Bug-tracking for Jeff's algorithms book, notes, etc.

A course in reinforcement learning in the wild

Web site for www.py4e.com and source to the Python 3.0 textbook

电子科技大学课程资料共享平台. Course material sharing platform of UESTC.

DL course co-developed by YSDA, HSE and Skoltech

USC urban data science course series with Python and Jupyter

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Machine learning course materials.

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

A short course on Julia and open-source software development

Course materials for Dartmouth course: Human Memory (PSYC 51.09)

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

Page of the course "Competitive Programming and Contests" at Department of Computer Science, University of Pisa

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

Lunatech course - "Moving forward from Scala 2 to Scala 3"

Additional materials related to Bitcoin and Cryptocurrency Technologies course on Coursera, maintained by the mentors of that course.

Computer vision and Deep learning