| Notebook Name | Description | Framework |
|---|---|---|
| Basic image classification tutorial | This guide trains a neural network model to classify images of clothing, like sneakers and shirts. | Tensorflow |
| Image classification with a CNN tutorial | This tutorial shows how to classify images of flowers. | Tensorflow |
| Image captioning tutorial | When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model. | Tensorflow |
| Audio recognition tutorial | This tutorial will show you how to build a basic speech recognition network that recognizes ten different words | Tensorflow |
| RNN tutorial (sentiment analysis / text classification) | This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis. | Tensorflow |
| RNN tutorial (text generation with Shakespeare) | This tutorial demonstrates how to generate text using a character-based RNN. | Tensorflow |
| Timeseries forecasting tutorial (weather) | This tutorial is an introduction to time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).. | Tensorflow |
| Transfer learning tutorial | In this tutorial, you will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network | Tensorflow |
| Model Name | Description | Framework |
|---|---|---|
| Training a Classifier | For this tutorial, we will use the CIFAR10 dataset for image classification. | PyTorch |
| Object Detection finetuning tutorial | we will be finetuning a pre-trained Mask R-CNN model in the Penn-Fudan Database for Pedestrian Detection and Segmentation. | PyTorch |
| Transfer Learning for Computer Vision Tutorial | you will learn how to train a convolutional neural network for image classification using transfer learning. | PyTorch |
| Adversarial Example Generation | This tutorial will raise your awareness to the security vulnerabilities of ML models, and will give insight into the hot topic of adversarial machine learning. | PyTorch |
| DCGAN Tutorial | This tutorial will give an introduction to DCGANs through an example. | PyTorch |
| Sequence-to-Sequence Modeling with nn.Transformer and TorchText | This is a tutorial on how to train a sequence-to-sequence model. | PyTorch |
| NLP From Scratch: Classifying Names with a Character-Level RNN | We will be building and training a basic character-level RNN to classify words. | PyTorch |
| NLP From Scratch: Generating Names with a Character-Level RNN | we used a RNN to classify names into their language of origin. | PyTorch |
Your contributions are always welcome!!
Please have a look at contributing.md