Pinned Repositories
CLIP
Contrastive Language-Image Pretraining
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
dti-clustering
(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
SSL2020
Self-Supervised Learning Toolbox and Benchmark
swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.
DukeMilo's Repositories
DukeMilo/CLIP
Contrastive Language-Image Pretraining
DukeMilo/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
DukeMilo/dti-clustering
(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
DukeMilo/ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
DukeMilo/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
DukeMilo/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
DukeMilo/SSL2020
Self-Supervised Learning Toolbox and Benchmark
DukeMilo/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
DukeMilo/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
DukeMilo/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.
DukeMilo/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
DukeMilo/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers