Jonathan Rubin's repositories
boxes_tightness_prior
Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
cs224n-stanford-winter2021
Stanford Winter 2021
detr
End-to-End Object Detection with Transformers
FNet-pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
mend
MEND: Fast Model Editing at Scale
multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
multitask-schema-guided-dst
Code for "A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking"
NeuroNLP2
Deep neural models for core NLP tasks (Pytorch version)
nystrom-attention
Implementation of Nyström Self-attention, from the paper Nyströmformer
perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Pixel2Mesh
A complete Pixel2Mesh implementation in PyTorch
pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
PyTorch-Pretrained-ViT
Vision Transformer (ViT) in PyTorch
SegWithDistMap
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
SMD-Nets
SMD-Nets: Stereo Mixture Density Networks
SparseConvNet
Submanifold sparse convolutional networks
t-few
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
vert-papers
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch