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2023-08-30 21:40| 来源: 网络整理| 查看: 265

Build Status License: MIT

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 Algorithms PyTorch Tutorials Basics More Advanced Object Detection Generative Adversarial Networks Architectures Lightning TensorFlow Tutorials Beginner Tutorials Architectures 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)

Mixed Precision Training

Imbalanced dataset

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

Object Detection Playlist

Intersection over Union

Non-Max Suppression

Mean Average Precision

YOLOv1 from scratch

YOLOv3 from scratch Generative Adversarial Networks

GAN Playlist

Simple FC GAN

DCGAN

WGAN

WGAN-GP

Pix2Pix

CycleGAN

ProGAN SRGAN ESRGAN StyleGAN - NOTE: NOT DONE Architectures

LeNet5 - CNN architecture

VGG - CNN architecture

Inception v1 - CNN architecture

ResNet - CNN architecture

EfficientNet - CNN architecture PyTorch Lightning

Tutorial 1 - Introduction and starter code

Tutorial 2 - LightningModule

Tutorial 3 - Trainer

Tutorial 4 - Metrics

Tutorial 5 - DataModule

Tutorial 6 - Code restructure

Tutorial 7 - Callbacks

Tutorial 8 - TensorBoard logging

Tutorial 9 - Profiler

Tutorial 10 - Multi-GPU 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 LeNet AlexNet VGG GoogLeNet ResNet

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