Computer-science Libraries

This is a curated list of free courses from reputable universities like MIT, Stanford, and Princeton that satisfy the same requirements as an undergraduate Computer Science degree, minus general educ…

There are eight subjects in the curriculum, organized into four subject areas. See the "Machine Learning House" section below for detail on why these are the essential foundational subject areas: Lat…

All contributors (with decent amount of contributions) will be listed as authors in the project. In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at he…

In various folders of the above topics, you can find questions and concepts related to that topic. I am continuously trying to improve this repository by adding new questions and concepts related to …

In various folders of the above topics, you can find questions and concepts related to that topic. I am continuously trying to improve this repository by adding new questions and concepts related to …

Clean example implementations of data structures and algorithms written in different languages. Contributions are always welcome. Language doesn't matter. Just make sure you're implementing an algori…

Official Books from the Series by @davecom Ports

Data structures & algorithms are an essential part of programming. They both fall under the fundamentals of computer science. Understanding these gives us the advantage of writing better and mor…

A Python library with the following principles and goals: With Axelrod you: The library is tested on Python versions 3.8, 3.9, and 3.10. The simplest way to install is: To install from source: The fo…

The library is supported for Python >= 2.7 and Python >= 3.3. The python modules needed in order to use this library. Import module Initialize object General image processing Edge detection Gra…

Nashpy is: To install Nashpy on Fedora, use: Create bi matrix games by passing two 2 dimensional arrays/lists: Clone the repository and create a virtual environment: Make modifications. To run the te…

Think Like a Programmer: An Introduction to Creative Problem Solving The Linux Command Line: A Complete Introduction   Python for Beginners by Alex Bowers     The Compelete Web Developer Course- Buil…

Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms. Although it is not intended to have the formal rigor of a b…

Chatbot made in Python using Natural Language Toolkit especially Machine Learning. Easy to Understand and Implement. Chatbot system for Final Year Project A chatbot is software that simulates human-l…

AI technology is significants because it allows softwares to do human functions—understanding, reasoning, planning, communication, and perception—increasingly effectively, efficiently, and affordably…

Datasets drive vision progress, yet existing driving datasets are limited in terms of visual content, scene variation, the richness of annotations, and the geographic distribution and supported tasks…

Recent advances in Machine Learning are pushing the boundaries of real world AI applicationsand are becoming more and more integrated in our daily lives. As researchadvances, the long-term goal of au…