Guide To GPyTorch: A Python Library For Gaussian Process Models
https://analyticsindiamag.com/guide-to-gpytorch-a-python-library-for-gaussian-process-models/
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https://analyticsindiamag.com/guide-to-gpytorch-a-python-library-for-gaussian-process-models/
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Analytics India Magazine
Guide To GPyTorch: A Python Library For Gaussian Process Models
GPyTorch is a PyTorch-based library for implementing Gaussian processes. It performs GP inference via Blackbox Matrix-Matrix multiplication.
XGBoost for Regression
https://machinelearningmastery.com/xgboost-for-regression/
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https://machinelearningmastery.com/xgboost-for-regression/
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Know your data much faster with the new Sweetviz Python library
https://www.kdnuggets.com/2021/03/know-your-data-much-faster-sweetviz-python-library.html
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https://www.kdnuggets.com/2021/03/know-your-data-much-faster-sweetviz-python-library.html
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KDnuggets
Know your data much faster with the new Sweetviz Python library
One of the latest exploratory data analysis libraries is a new open-source Python library called Sweetviz, for just the purposes of finding out data types, missing information, distribution of values, correlations, etc. Find out more about the library and…
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Github: https://github.com/PaddlePaddle/PaddleClas
Paper: https://arxiv.org/abs/2103.05959v1
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Github: https://github.com/PaddlePaddle/PaddleClas
Paper: https://arxiv.org/abs/2103.05959v1
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GitHub
GitHub - PaddlePaddle/PaddleClas: A treasure chest for visual classification and recognition powered by PaddlePaddle
A treasure chest for visual classification and recognition powered by PaddlePaddle - PaddlePaddle/PaddleClas
TimeSformer: A new architecture for video understanding
https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/
Paper: https://arxiv.org/abs/2102.05095
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https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/
Paper: https://arxiv.org/abs/2102.05095
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ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Github: https://github.com/csuhan/ReDet
Paper: https://arxiv.org/abs/2103.07733v1
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Github: https://github.com/csuhan/ReDet
Paper: https://arxiv.org/abs/2103.07733v1
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Forwarded from TensorFlow
Contactless Sleep Sensing in Nest Hub
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
@tensorflowblog
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
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Googleblog
Contactless Sleep Sensing in Nest Hub
Natural Language Processing Pipelines, Explained
https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html
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https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html
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UPANets: Learning from the Universal Pixel Attention Networks Edit social preview
Github: https://github.com/hanktseng131415go/UPANets
Paper: https://arxiv.org/pdf/2103.08640.pdf
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Github: https://github.com/hanktseng131415go/UPANets
Paper: https://arxiv.org/pdf/2103.08640.pdf
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👍1
Training GANs with Stronger Augmentations via Contrastive Discriminator Edit social preview
Github: https://github.com/jh-jeong/ContraD
Paper: https://arxiv.org/abs/2103.09742
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Github: https://github.com/jh-jeong/ContraD
Paper: https://arxiv.org/abs/2103.09742
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You Only Look One-level Feature
Github: https://github.com/megvii-model/YOLOF
Object detector without FPN: https://github.com/chensnathan/YOLOF
Paper: https://arxiv.org/abs/2103.09460v1
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Github: https://github.com/megvii-model/YOLOF
Object detector without FPN: https://github.com/chensnathan/YOLOF
Paper: https://arxiv.org/abs/2103.09460v1
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A Gentle Introduction to XGBoost Loss Functions
https://machinelearningmastery.com/xgboost-loss-functions/
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https://machinelearningmastery.com/xgboost-loss-functions/
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MachineLearningMastery.com
A Gentle Introduction to XGBoost Loss Functions - MachineLearningMastery.com
XGBoost is a powerful and popular implementation of the gradient boosting ensemble algorithm. An important aspect in configuring XGBoost models is the choice of loss function that is minimized during the training of the model. The loss function must be matched…
👍1
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
Github: https://github.com/594422814/TransformerTrack
Paper: https://arxiv.org/abs/2103.11681v1
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Github: https://github.com/594422814/TransformerTrack
Paper: https://arxiv.org/abs/2103.11681v1
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Pose-Transfer
Github: https://github.com/tengteng95/Pose-Transfer
Paper: https://arxiv.org/abs/1904.03349
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Github: https://github.com/tengteng95/Pose-Transfer
Paper: https://arxiv.org/abs/1904.03349
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Introducing PyTorch Profiler - the new and improved performance tool
https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/
Documentation: https://pytorch.org/docs/stable/profiler.html
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https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/
Documentation: https://pytorch.org/docs/stable/profiler.html
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I'm AI names colors much as humans do
https://ai.facebook.com/blog/ai-names-colors-much-as-humans-do/
Paper: https://www.pnas.org/content/118/12/e2016569118
Code: https://github.com/rahmacha/EGG
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https://ai.facebook.com/blog/ai-names-colors-much-as-humans-do/
Paper: https://www.pnas.org/content/118/12/e2016569118
Code: https://github.com/rahmacha/EGG
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Tune XGBoost Performance With Learning Curves
https://machinelearningmastery.com/tune-xgboost-performance-with-learning-curves/
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https://machinelearningmastery.com/tune-xgboost-performance-with-learning-curves/
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OTA: Optimal Transport Assignment for Object Detection
Github: https://github.com/Megvii-BaseDetection/OTA
Paper: https://arxiv.org/abs/2103.14259
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Github: https://github.com/Megvii-BaseDetection/OTA
Paper: https://arxiv.org/abs/2103.14259
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Changing the Mind of Transformers for Topically-Controllable Language Generation
Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
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Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
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