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
Siamese networks with Keras, TensorFlow, and Deep Learning
https://www.pyimagesearch.com/2020/11/30/siamese-networks-with-keras-tensorflow-and-deep-learning/
@ArtificialIntelligencedl
https://www.pyimagesearch.com/2020/11/30/siamese-networks-with-keras-tensorflow-and-deep-learning/
@ArtificialIntelligencedl
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model.
Github: https://github.com/SteffenCzolbe/PerceptualSimilarity
Paper: https://arxiv.org/abs/2006.15057
Video: https://www.youtube.com/watch?v=qPmHQbR4DeI&feature=youtu.be
@ArtificialIntelligencedl
Github: https://github.com/SteffenCzolbe/PerceptualSimilarity
Paper: https://arxiv.org/abs/2006.15057
Video: https://www.youtube.com/watch?v=qPmHQbR4DeI&feature=youtu.be
@ArtificialIntelligencedl
Fully Convolutional Networks for Panoptic Segmentation.
Github: https://github.com/yanwei-li/PanopticFCN
Paper: https://arxiv.org/pdf/2012.00720.pdf
@ArtificialIntelligencedl
Github: https://github.com/yanwei-li/PanopticFCN
Paper: https://arxiv.org/pdf/2012.00720.pdf
@ArtificialIntelligencedl
ReBeL: A general game-playing AI bot that excels at poker and more
https://ai.facebook.com/blog/rebel-a-general-game-playing-ai-bot-that-excels-at-poker-and-more/
Github: https://github.com/facebookresearch/rebel
Paper: https://arxiv.org/abs/2007.13544
@ArtificialIntelligencedl
https://ai.facebook.com/blog/rebel-a-general-game-playing-ai-bot-that-excels-at-poker-and-more/
Github: https://github.com/facebookresearch/rebel
Paper: https://arxiv.org/abs/2007.13544
@ArtificialIntelligencedl
Meta
ReBeL: A general game-playing AI bot that excels at poker and more
Combining reinforcement learning with search (RL+Search) has been tremendously successful for perfect-information games. But prior RL+Search algorithms break down in
Driving Model Performance with Synthetic Data II: Smart Augmentations
https://synthesis.ai/2020/12/02/driving-model-performance-with-synthetic-data-ii-smart-augmentations/
@ArtificialIntelligencedl
https://synthesis.ai/2020/12/02/driving-model-performance-with-synthetic-data-ii-smart-augmentations/
@ArtificialIntelligencedl
MusicAutobot
Using Deep Learning to generate pop music.
Github: https://github.com/bearpelican/musicautobot
Website: https://musicautobot.com/song/4296f489066d02db3491bcde78667746
@ArtificialIntelligencedl
Using Deep Learning to generate pop music.
Github: https://github.com/bearpelican/musicautobot
Website: https://musicautobot.com/song/4296f489066d02db3491bcde78667746
@ArtificialIntelligencedl
Change the Background of Any Video with 5 Lines of Code
https://www.kdnuggets.com/2020/12/change-background-video-5-lines-code.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2020/12/change-background-video-5-lines-code.html
@ArtificialIntelligencedl
KDnuggets
Change the Background of Any Video with 5 Lines of Code
Learn to blur, color, grayscale and create a virtual background for a video with PixelLib.
Towards Better Object Detection in Scale Variation with Adaptive Feature Selection.
Github: https://github.com/ZeHuiGong/AFSM
Paper: https://arxiv.org/abs/2012.03265v1
Github: https://github.com/ZeHuiGong/AFSM
Paper: https://arxiv.org/abs/2012.03265v1