Forwarded from TensorFlow
New Coral APIs and tools for AI at the edge
https://blog.tensorflow.org/2020/11/new-coral-apis-and-tools-for-ai-at-edge.html
@tensorflowblog
https://blog.tensorflow.org/2020/11/new-coral-apis-and-tools-for-ai-at-edge.html
@tensorflowblog
blog.tensorflow.org
New Coral APIs and tools for AI at the edge
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
A library to train large neural networks across the internet.
https://learning-at-home.github.io/
Github: https://github.com/learning-at-home/hivemind
Paper: https://arxiv.org/abs/2002.04013
https://learning-at-home.github.io/
Github: https://github.com/learning-at-home/hivemind
Paper: https://arxiv.org/abs/2002.04013
learning@home
Hivemind is a library to train large neural networks across the internet. Imagine training one huge transformer on thousands of computers from universities, companies, and volunteers.
Nvdiffrast – Modular Primitives for High-Performance Differentiable Rendering
https://nvlabs.github.io/nvdiffrast/
Github: https://github.com/NVlabs/nvdiffrast
Paper: https://arxiv.org/abs/2011.03277
@ArtificialIntelligencedl
https://nvlabs.github.io/nvdiffrast/
Github: https://github.com/NVlabs/nvdiffrast
Paper: https://arxiv.org/abs/2011.03277
@ArtificialIntelligencedl
nvlabs.github.io
nvdiffrast
Modular Primitives for High-Performance Differentiable Rendering
How to Identify Overfitting Machine Learning Models in Scikit-Learn
https://machinelearningmastery.com/overfitting-machine-learning-models/
@ArtificialIntelligencedl
https://machinelearningmastery.com/overfitting-machine-learning-models/
@ArtificialIntelligencedl
MachineLearningMastery.com
How to Identify Overfitting Machine Learning Models in Scikit-Learn - MachineLearningMastery.com
Overfitting is a common explanation for the poor performance of a predictive model. An analysis of learning dynamics can help to identify whether a model has overfit the training dataset and may suggest an alternate configuration to use that could result…
Improving On-Device Speech Recognition with VoiceFilter-Lite.
https://ai.googleblog.com/2020/11/improving-on-device-speech-recognition.html
@ArtificialIntelligencedl
https://ai.googleblog.com/2020/11/improving-on-device-speech-recognition.html
@ArtificialIntelligencedl
blog.research.google
Improving On-Device Speech Recognition with VoiceFilter-Lite
Google Brain Paper Demystifies Learned Optimizers
https://syncedreview.com/2020/11/12/google-brain-paper-demystifies-learned-optimizers/
@ArtificialIntelligencedl
https://syncedreview.com/2020/11/12/google-brain-paper-demystifies-learned-optimizers/
@ArtificialIntelligencedl
Synced | AI Technology & Industry Review
Google Brain Paper Demystifies Learned Optimizers | Synced
Google Brain ICLR 2021 submission analyzes learned optimizers’ performance advantage over well-tuned baseline optimizers.
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Github: https://github.com/hzwer/Arxiv2020-RIFE
Paper: https://arxiv.org/pdf/2011.06294.pdf
Demo: https://www.youtube.com/watch?v=lqtqmP46LaA&feature=youtu.be
@ArtificialIntelligencedl
Github: https://github.com/hzwer/Arxiv2020-RIFE
Paper: https://arxiv.org/pdf/2011.06294.pdf
Demo: https://www.youtube.com/watch?v=lqtqmP46LaA&feature=youtu.be
@ArtificialIntelligencedl
Paving the way for Software 2.0 with Kotlin
https://ai.facebook.com/blog/paving-the-way-for-software-20-with-kotlin/
@ArtificialIntelligencedl
https://ai.facebook.com/blog/paving-the-way-for-software-20-with-kotlin/
@ArtificialIntelligencedl
Facebook
Paving the way for Software 2.0 with Kotlin
As more engineers and developers explore Software 2.0, we’ve extended the Kotlin compiler to support differentiability and tensor typing.
Here's how we're using AI to help detect misinformation.
https://ai.facebook.com/blog/heres-how-were-using-ai-to-help-detect-misinformation/
@ArtificialIntelligencedl
https://ai.facebook.com/blog/heres-how-were-using-ai-to-help-detect-misinformation/
@ArtificialIntelligencedl
Adversarial Examples in Deep Learning.
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
@ArtificialIntelligencedl
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
@ArtificialIntelligencedl
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Github: https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow
Paper: https://arxiv.org/abs/2011.09670v1
@ArtificialIntelligencedl
Github: https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow
Paper: https://arxiv.org/abs/2011.09670v1
@ArtificialIntelligencedl
Random Forest on GPUs: 2000x Faster than Apache Spark
https://www.saturncloud.io/s/random-forest-on-gpus-2000x-faster-than-apache-spark/
@ArtificialIntelligencedl
https://www.saturncloud.io/s/random-forest-on-gpus-2000x-faster-than-apache-spark/
@ArtificialIntelligencedl
Genuine Openset re-ID Metric (GOM)
Github: https://github.com/YuanXinCherry/Person-reID-Evaluation
Paper: https://arxiv.org/abs/2011.11506
@ArtificialIntelligencedl
Github: https://github.com/YuanXinCherry/Person-reID-Evaluation
Paper: https://arxiv.org/abs/2011.11506
@ArtificialIntelligencedl
Simple Python Package for Comparing, Plotting & Evaluating Regression Models.
https://www.kdnuggets.com/2020/11/simple-python-package-comparing-plotting-evaluating-regression-models.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2020/11/simple-python-package-comparing-plotting-evaluating-regression-models.html
@ArtificialIntelligencedl
Lectures and slides for the UvA Master AI course Machine Learning
https://uvaml1.github.io/
videos: https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n
@ArtificialIntelligencedl
https://uvaml1.github.io/
videos: https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n
@ArtificialIntelligencedl
Image Inpainting with Contextual Reconstruction Loss
Github: https://github.com/zengxianyu/crfill
Paper: https://arxiv.org/abs/2011.12836v1
@ArtificialIntelligencedl
Github: https://github.com/zengxianyu/crfill
Paper: https://arxiv.org/abs/2011.12836v1
@ArtificialIntelligencedl
GitHub
GitHub - zengxianyu/crfill: CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021 - zengxianyu/crfill
How to Explain Data Using Gaussian Distribution and Summary Statistics with Python.
https://www.freecodecamp.org/news/how-to-explain-data-using-gaussian-distribution-and-summary-statistics-with-python/
@ArtificialIntelligencedl
https://www.freecodecamp.org/news/how-to-explain-data-using-gaussian-distribution-and-summary-statistics-with-python/
@ArtificialIntelligencedl
