research-contributions
transferlearning
research-contributions | transferlearning | |
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3 | 1 | |
933 | 12,880 | |
1.3% | - | |
8.1 | 7.8 | |
7 days ago | 12 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
research-contributions
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Dicom Images Segmentation
Checkout the MONAI library: https://monai.io/. It is tailored towards processing of medical images. It offers a label module which can be used for annotation, as well as a deep learning module with a vast range of models and medical data pipelines.
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Pretrained Resnet50 for kidney detection (Kits19)
You can find a pretrained Resnet, but probably not one that's been trained on a kidney object detection dataset. The only kidney CT dataset I know of is for segmentation, not object detection. So you'll have to convert the segmentations to bounding boxes and train your own. Take a look at monai.io for potential resources.
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Researchers From NVIDIA & Vanderbilt University Propose ‘Swin UNETR’: A Novel Architecture for Semantic Segmentation of Brain Tumors Using Multi-Modal MRI Images
Github: https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR
transferlearning
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[D] Medium Article: Adaptive Learning for Time Series Forecasting
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
What are some alternatives?
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
zshot - Zero and Few shot named entity & relationships recognition
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
stackoverflow-better-stats - Better statistics about Stack Overflow's 2023 Developer Survey
PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
train-procgen - Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
fast-artistic-videos - Video style transfer using feed-forward networks.