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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