AI for Beginners

Welcome to the AI for Beginners repository! This guide is designed to provide a comprehensive introduction to the world of Artificial Intelligence.

Table of Contents

1. Introduction
2. Python Basics
3. Mathematics for AI
4. Machine Learning
5. Deep Learning
6. Pytorch Basics
7. Computer Vision
8. Natural Language Processing (NLP)
9. Generative Models
10. Audio Processing
11. Reinforcement Learning
12. Projects and Case Studies
13. Additional Resources
14. Community and Contribution

Machine Learning

No	Title	Intro	PyTorch	Keras/TensorFlow	Lab	Source	Category/Tag	Description
1	Linear Regression				Linear Regression
2	Logistic Regression				Logistic Regression
3	K Means Clustering				K Means Clustering
4	K Near Neighbor				K Near Neighbor
5	Decision Trees				Decision Trees
6	Naive Bayes				Naive Bayes
7	PCA				PCA
8	SVM				SVM

Computer Vision

No	Title	Intro	PyTorch	Keras/TensorFlow	Lab	Source	Category/Tag	Description
9	LeNet
10	AlexNet
11	VGG
12	ResNet
13	MobileNet
14	Effecient Net
15	ViT
16	SORT
17	SORTwithYolov8

NLP

No	Title	Intro	PyTorch	Keras/TensorFlow	Lab	Source	Category/Tag	Description
18	temp
19	temp
20	temp
21	temp
22	temp
23	temp
24	temp
25	temp
26	temp
27	temp
28	temp
29	temp
30	temp
31	temp
32	temp
33	temp
34	temp
35	temp

Generative Image Model

No	Title	Intro	PyTorch	Keras/TensorFlow	Lab	Source	Category/Tag	Description
36	GAN
37	DCGAN
38	Diffusion

Audio

No	Title	Intro	PyTorch	Keras/TensorFlow	Lab	Source	Category/Tag	Description