aladdinpersson / Machine Learning Collection
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A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
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Machine Learning Collection
In this repository you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to lookup problems to solve specific problems. For most I have also done video explanations on YouTube if you want a walkthrough for the code. If you got any questions or suggestions for future videos I prefer if you ask it on YouTube. This repository is contribution friendly, so if you feel you want to add something then I'd happily merge a PR 😃
Table Of Contents
Machine Learning
- Linear Regression - With Gradient Descent ✅
- Linear Regression - With Normal Equation ✅
- Logistic Regression
- Naive Bayes - Gaussian Naive Bayes
- K-nearest neighbors
- K-means clustering
- Support Vector Machine - Using CVXOPT
- Neural Network
- Decision Tree
PyTorch Tutorials
If you have any specific video suggestion please make a comment on YouTube :)
Basics
- Tensor Basics
- Feedforward Neural Network
- Convolutional Neural Network
- Recurrent Neural Network
- Bidirectional Recurrent Neural Network
- Loading and saving model
- Custom Dataset (Images)
- Custom Dataset (Text)
- Transfer Learning and finetuning
- Data augmentation using Torchvision
- Data augmentation using Albumentations
- TensorBoard Example
- Calculate Mean and STD of Images
- Simple Progress bar
- Deterministic Behavior
- Learning Rate Scheduler
- Initialization of weights
More Advanced
- Text Generating LSTM
- Semantic Segmentation w. U-NET
- Image Captioning
- Neural Style Transfer
- Torchtext [1] Torchtext [2] Torchtext [3]
- Seq2Seq - Sequence to Sequence (LSTM)
- Seq2Seq + Attention - Sequence to Sequence with Attention (LSTM)
- Seq2Seq Transformers - Sequence to Sequence with Transformers
- Transformers from scratch - Attention Is All You Need
Object Detection
- Intersection over Union
- Non-Max Suppression
- Mean Average Precision
- YOLOv1 from scratch
- YOLOv3 from scratch
Generative Adversarial Networks
Architectures
- LeNet5 - CNN architecture
- VGG - CNN architecture
- Inception v1 - CNN architecture
- ResNet - CNN architecture
- EfficientNet - CNN architecture
TensorFlow Tutorials
If you have any specific video suggestion please make a comment on YouTube :)
Beginner Tutorials
- Tutorial 1 - Installation, Video Only
- Tutorial 2 - Tensor Basics
- Tutorial 3 - Neural Network
- Tutorial 4 - Convolutional Neural Network
- Tutorial 5 - Regularization
- Tutorial 6 - RNN, GRU, LSTM
- Tutorial 7 - Functional API
- Tutorial 8 - Keras Subclassing
- Tutorial 9 - Custom Layers
- Tutorial 10 - Saving and Loading Models
- Tutorial 11 - Transfer Learning
- Tutorial 12 - TensorFlow Datasets
- Tutorial 13 - Data Augmentation
- Tutorial 14 - Callbacks
- Tutorial 15 - Custom model.fit
- Tutorial 16 - Custom Loops
- Tutorial 17 - TensorBoard
- Tutorial 18 - Custom Dataset Images
- Tutorial 19 - Custom Dataset Text
- Tutorial 20 - Classifying Skin Cancer - Beginner Project Example
CNN Architectures
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