FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours
Github: https://github.com/hpcaitech/fastfold
Paper: https://arxiv.org/abs/2203.00854v1
@Machine_learn
Github: https://github.com/hpcaitech/fastfold
Paper: https://arxiv.org/abs/2203.00854v1
@Machine_learn
Uncertainty Estimation for Heatmap-based Landmark Localization
Github: https://github.com/pykale/pykale
Documentatuin: https://github.com/pykale/pykale
Paper: https://arxiv.org/abs/2203.02351v1
Dataset: https://paperswithcode.com/dataset/kitti
@Machine_learn
Github: https://github.com/pykale/pykale
Documentatuin: https://github.com/pykale/pykale
Paper: https://arxiv.org/abs/2203.02351v1
Dataset: https://paperswithcode.com/dataset/kitti
@Machine_learn
https://web.njit.edu/~ym329/dlg_book/dlg_book.pdf
Deep Learning on Graphs
📖 Book
#deeplearning #DL
@Machine_learn
Deep Learning on Graphs
📖 Book
#deeplearning #DL
@Machine_learn
1-s2.0-S154461232100218X-main.pdf
1.8 MB
Cryptocurrency liquidity and volatility interrelationships during
the COVID-19 pandemic #Paper @Machine_learn
the COVID-19 pandemic #Paper @Machine_learn
🔥1
2109.12142.pdf
4.1 MB
Periodicity in Cryptocurrency Volatility and Liquidity #Paper @Machine_learn
Alpa: Automated Model-Parallel Deep Learning
http://ai.googleblog.com/2022/05/alpa-automated-model-parallel-deep.html
@Machine_learn
http://ai.googleblog.com/2022/05/alpa-automated-model-parallel-deep.html
@Machine_learn
research.google
Alpa: Automated Model-Parallel Deep Learning
Posted by Zhuohan Li, Student Researcher, Google Research, and Yu Emma Wang, Senior Software Engineer, Google Core Update — 2022/05/06: This pos...
Pix2Seq: A New Language Interface for Object Detection
http://ai.googleblog.com/2022/04/pix2seq-new-language-interface-for.html
@Machine_learn
http://ai.googleblog.com/2022/04/pix2seq-new-language-interface-for.html
@Machine_learn
research.google
Pix2Seq: A New Language Interface for Object Detection
Posted by Ting Chen and David Fleet, Research Scientists, Google Research, Brain Team Object detection is a long-standing computer vision task that...
🔎 Cross-view Transformers for real-time Map-view Semantic Segmentation
Code: https://github.com/bradyz/cross_view_transformers
Paper: https://arxiv.org/abs/2205.02833v1
Dataset: https://paperswithcode.com/dataset/nuscenes
@Machine_learn
Code: https://github.com/bradyz/cross_view_transformers
Paper: https://arxiv.org/abs/2205.02833v1
Dataset: https://paperswithcode.com/dataset/nuscenes
@Machine_learn
Predicting_academic_performance.pdf
900.3 KB
Predicting academic performance by considering student heterogeneity #Paper @Machine_learn
chapter 5.pdf
2.5 MB
Automatic Interpretation of
Carotid Intima–Media
Thickness Videos Using
Convolutional Neural
Networks #Chapter5 @Machine_learn
Carotid Intima–Media
Thickness Videos Using
Convolutional Neural
Networks #Chapter5 @Machine_learn
chapter 6.pdf
1.4 MB
Deep Cascaded Networks for
Sparsely Distributed Object
Detection from Medical
Images #Chapter6 @Machine_learn
Sparsely Distributed Object
Detection from Medical
Images #Chapter6 @Machine_learn
👍1
Chapter 9.pdf
3.8 MB
Deformable MR Prostate
Segmentation via Deep
Feature Learning and Sparse
Patch Matching #Chapter9 @Machine_learn
Segmentation via Deep
Feature Learning and Sparse
Patch Matching #Chapter9 @Machine_learn