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VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"
Multi-object image datasets with ground-truth segmentation masks and generative factors.
Medical imaging processing for AI applications.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Gradually-Warmup Learning Rate Scheduler for PyTorch
Implementation of Convolutional LSTM in PyTorch.
Flask Bootstrap 5 - Volt Dashboard | App-Generator.dev
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Must-read papers on graph neural networks (GNN)
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
Fine-Tune Pytorch Faster RCNN for your own task.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Pytorch Implementation of Videos as Space-Time Region Graphs
3D ResNets for Action Recognition (CVPR 2018)
Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Small tool to capture packets from wlan devices.
🥇 Team W10-B2's KayPoh! App 🗽