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ai-boot-camp

AI-ML Boot Camp

ait-401-deep-learning

Deep Learning Course under KTU

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

applied-machine-learning

Applied Machine Learning

azure-farmbeats-samples

Python Samples that show how you can use Azure Farmbeats SDK to create satellite job and weather job, etc. and consume satellite and weather data to build ML models.

bert-text-classification

BERT Text Classification

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bkuriach

classify-chest-x-ray-using-pytorch

Detecting COVID-19 with Chest X-Ray using PyTorch

corrosion-detection

Corrosion detection using YOLO and advanced deep learning models

cs224n

Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cse-598-deeplearning-pytorch

data-structures-and-algorithms

Data-Structures-and-Algorithms

deep-learning-with-python

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-tensorflow-and-keras

Deep Learning with TensorFlow and Keras – 3rd edition

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

fdp-ktu-machine-learning

Machine Learning using Python

gan

Generative Adversarial Network

k-means-clustering-from-scratch-python

K-Means Clustering from scratch using python

ktu-cs-security-lab

KTU - security-lab

language-grounding

Language Grounding

llm-langchain

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

logistic-regression-implementation-numpy

Build a Logistic Regression model from Scratch using Numpy for Sentiment Classification Task

machine-translation-pytorch

Machine Translation using Sequence to Sequence Model in PyTorch

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

malicious-dga-detection

Attackers use domain generation algorithms (DGA) to generate huge amounts of domains. These domains are then used to perform various malicious attacks including (but not limited to) C2 servers in malware attack, phishing domains, tech support scam websites. The domains are generated using various algorithms (phish kits) to evade detection from security software. In this hackathon project, we would like to create a working machine learning based classifier which will detect domains generated using DGAs. This can protect users from being compromised.