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Computer Vision

Image classification from scratch
Simple MNIST convnet
Image segmentation with a U-Net-like architecture
3D image classification from CT scans
Convolutional autoencoder for image denoising
OCR model for reading Captchas
Consistency training with supervision
Next-Frame Video Prediction with Convolutional LSTMs
CutMix data augmentation for image classification
Grad-CAM class activation visualization
Image Captioning
Image classification via fine-tuning with EfficientNet
Image classification with Vision Transformer
Model interpretability with Integrated Gradients
Keypoint Detection with Transfer Learning
Knowledge Distillation
Learning to Resize in Computer Vision
Metric learning for image similarity search
MixUp augmentation for image classification
Image classification with modern MLP models
Image classification with Perceiver
Point cloud classification with PointNet
RandAugment for Image Classification for Improved Robustness
Few-Shot learning with Reptile
Object Detection with RetinaNet
Semantic Image Clustering
Semi-supervised image classification using contrastive pretraining with SimCLR
Image similarity estimation using a Siamese Network with a contrastive loss
Image similarity estimation using a Siamese Network with a triplet loss
Self-supervised contrastive learning with SimSiam
Image Super-Resolution using an Efficient Sub-Pixel CNN
Supervised Contrastive Learning
Video Classification with a CNN-RNN Architecture
Video Classification with Transformers
Visualizing what convnets learn
Pneumonia Classification on TPU