Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
Generative deep learning: DeepDream
A collection of some easy Neural Network based Python projects
Official code for CVPR2024 “VideoMAC: Video Masked Autoencoders Meet ConvNets”
Estimating galaxy gas mass fractions using SDSS imaging
PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.
Neural style art transfer made using a VGG-16 convolutional neural network using Keras and TensorFlow.
Colorization of Image with Generative Adversarial Network (Pix2Pix).
Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.
Random Anime Face Generation with Generative Adversarial Networks. DCGAN and WGAN-GP are used.
"A collection of deep learning projects from my PGD in Data Science at NED University, including CNN-based image classification and sequence processing with ConvNets, applied to datasets like Cat-Dog, Netflix, and Jena Climate."
Car Localization with Semantic Segmentation, using UNet. Dice Score: 0.89, Pixel to Pixel Accuracy: 99.07%.
Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling si…
These notes and resources are compiled from the crash course Prompt Engineering for Vision Models offered by DeepLearning.AI.
Visualization and adversarial examples with a DIY (numpy only) ConvNet.
This is a Computer Vision Free Course from @Kaggle.
Techniques for interpreting ConvNets
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