-
Rochester Institute of Technology
Highlights
- Pro
Stars
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)
A guidance language for controlling large language models.
ImageBind One Embedding Space to Bind Them All
Implementations of several self-supervised pretext tasks for language and vision modalities in PyTorch.
Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets", accepted at ICCV 2021 2nd Visual Inductive Priors for …
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Annotations for the PI-CAI Challenge: Public Training and Development Dataset
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
A curated list of awesome Active Learning
SOTA medical image segmentation methods based on various challenges
A list of Medical imaging datasets.
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Code for Which Tasks Should Be Learned Together in Multi-task Learning?
StarGAN - Official PyTorch Implementation (CVPR 2018)