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PyTorch
Scikit-Learn
Fast.ai
CNN
Autoencoder
Keras
TensorFlow
Classification
GAN
Generate Images with a Variational Autoencoder (VAE)
Using Keras and the fashion-MNIST dataset to generate images with a VAE
Autoencoder
Logistic Regression with Scikit-Learn
Train a logistic regression model based on the MNIST dataset.
Scikit-Learn
Sentiment Analysis in Pytorch
Sentiment Analysis using several different methods in PyTorch
PyTorch
Text Generation with GPT-2
Generate text using the state-of-the-art model from Open.ai
Language
Image Segmentation with TensorFlow
Using TensorFlow to determine objects and surroundings in images
Classification
Simple Face Detection with OpenCV
Using OpenCV to locate and visualize faces in images
OpenCV
Simple Edge Detection with OpenCV
Finding edges of the images using Canny edge detector
OpenCV
CycleGAN for Age Conversion
Generating natural-looking aged photos with GANs
GAN
Bacteria Classification with fast.ai
Using fast.ai to build a state of the art bacterial classifier with the DIBaS dataset
Fast.ai
PyTorch Tutorial: Working with Tensors
Learn the essentials of working with tensors in PyTorch
PyTorch
PyTorch Tutorial: Building a Neural Network
Learn how to build a neural network from scratch using PyTorch
PyTorch
PyTorch Tutorial: Training a Classifier
Learn how to train an image classifier using the torchvision package in PyTorch
PyTorch
PyTorch Tutorial: Autograd and Automatic Differentiation
Learn how to use the autograd package in PyTorch
PyTorch
PyTorch Tutorial: Data Parallelism
Learn how to use multiple GPUs with PyTorch
PyTorch
GauGAN
Adapt GauGAN for your own data
GAN
Ensemble Methods with Scikit-Learn
Easily implement decision trees, bagging, isolation forest, and AdaBoost
Scikit-Learn
Image Compression Using Autoencoders in Keras
Compress and reconstruct images
Image Processing
Time Series Forecasting with LSTM
Predict future trends using LSTM
LSTM
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