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I'm looking to collaborate on gaming, AI projects

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bounasrnour's Projects

cs273a-introduction-to-machine-learning icon cs273a-introduction-to-machine-learning

Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications from the web (search, advertisements, and suggestions) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. Perhaps most famously, the $1M Netflix prize stirred up interest in learning algorithms in professionals, students, and hobbyists alike. This class will familiarize you with a broad cross-section of models and algorithms for machine learning, and prepare you for research or industry application of machine learning techniques. Background We will assume basic familiarity with the concepts of probability and linear algebra. Some programming will be required; we will primarily use Matlab, but no prior experience with Matlab will be assumed. (Most or all code should be Octave compatible, so you may use Octave if you prefer.) Textbook and Reading There is no required textbook for the class. However, useful books on the subject for supplementary reading include Murphy's "Machine Learning: A Probabilistic Perspective", Duda, Hart & Stork, "Pattern Classification", and Hastie, Tibshirani, and Friedman, "The Elements of Statistical Learning".

dalle-mini icon dalle-mini

DALLΒ·E Mini - Generate images from a text prompt

dalle2-pytorch icon dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

egoventure icon egoventure

First person point and click adventure framework for Godot

entity_spell_system icon entity_spell_system

An entity and spell system c++ godot engine module, for complex (optionally multiplayer) RPGs.

facebook-cracker icon facebook-cracker

Facebook Cracker Version 1.0 can crack into Facebook Database 100% without Interruption By Facebook Firewall

follina.py icon follina.py

POC to replicate the full 'Follina' Office RCE vulnerability for testing purposes

frp icon frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

fsociety-ransomware-mrrobot icon fsociety-ransomware-mrrobot

This is Jester ransomware like, in Mr Robot movie (coded by Darlene S1E2,3), Please beware warning, after start you can't recover the files (In movie, the private key is not shared). IMPORTANT NOT FULLY STEP COMPLETED

gazetracking icon gazetracking

πŸ‘€ Eye Tracking library easily implementable to your projects

ghost icon ghost

Turn your audience into a business. Publishing, memberships, subscriptions and newsletters.

godostra icon godostra

Free cross-platform 3D real-time strategy (RTS) game using godot 3.x

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