A resource for learning about Machine learning & Deep Learning
See the code
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 😃
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 NetworkIf you have any specific video suggestion please make a comment on YouTube :)
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 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 Intersection over Union Non-Max Suppression Mean Average Precision YOLOv1 from scratch YOLOv3 from scratch LeNet5 - CNN architecture VGG - CNN architecture Inception v1 - CNN architecture ResNet - CNN architecture EfficientNet - CNN architecture 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-GPUIf you have any specific video suggestion please make a comment on YouTube :)
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 Example84 followers · starred Mar 2022
7 followers · starred Jun 2021
2,958 followers · starred Dec 2023
43 followers · starred Feb 2021
A resource for learning about Machine learning & Deep Learning
See the code
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 😃
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 NetworkIf you have any specific video suggestion please make a comment on YouTube :)
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 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 Intersection over Union Non-Max Suppression Mean Average Precision YOLOv1 from scratch YOLOv3 from scratch LeNet5 - CNN architecture VGG - CNN architecture Inception v1 - CNN architecture ResNet - CNN architecture EfficientNet - CNN architecture 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-GPUIf you have any specific video suggestion please make a comment on YouTube :)
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 Example84 followers · starred Mar 2022
7 followers · starred Jun 2021
2,958 followers · starred Dec 2023
43 followers · starred Feb 2021
