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100-days-of-code

100-days-of-ml-code

100 Days of ML Coding

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adversarial-example-attack-and-defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarial_examples

auto_scout

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops-course-outline

Awesome MLOps Course Outline

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bertilesentimentanaliz

BERT ile Sentiment Analizi

blur-detection

Image blur detection using opencv-python

blurdetection

A Python-Based Blur Detector using Fast Fourier Transforms

capstone_project_3

chatgpt-data-science-prompts

A repository of 60 useful data science prompts for ChatGPT

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cnn_projects

The Dogs vs. Cats dataset is a standard computer vision dataset that involves classifying photos as either containing a dog or cat.

code_snippets

colah.github.io

computer-vision-projects

Projects involving Computer vision-related tasks

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

counterfit

a CLI that provides a generic automation layer for assessing the security of ML models

data-analysis-and-visualization-with-python

Data-Analysis-and-Visualization-with-Python

data-science-interview-questions

Data Science Interview Questions

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_analysis_capstone_project

data_visualization

data_visualization_exercises

deep-learning