This is a list of awesome articles about object detection. If you want to read the paper according to time
https://github.com/amusi/awesome-object-detection
👉@Machine_learn
https://github.com/amusi/awesome-object-detection
👉@Machine_learn
GitHub
GitHub - amusi/awesome-object-detection: Awesome Object Detection based on handong1587 github: https://handong1587.github.io/d…
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html - amusi/awesome-object-detection
Transforming sounds into musical instruments used in a variety of styles, from Baroque to jazz using machine learning, created by the Magenta and AIUX team within Google Research.
https://sites.research.google/tonetransfer
Intro Video:
https://youtu.be/bXBliLjImio
Blog post:
https://magenta.tensorflow.org/ddsp
Colab:
https://colab.research.google.com/github/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb
https://github.com/magenta/ddsp/tree/master/ddsp/colab/tutorials
Github:
https://github.com/magenta/ddsp
@Machine_learn
https://sites.research.google/tonetransfer
Intro Video:
https://youtu.be/bXBliLjImio
Blog post:
https://magenta.tensorflow.org/ddsp
Colab:
https://colab.research.google.com/github/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb
https://github.com/magenta/ddsp/tree/master/ddsp/colab/tutorials
Github:
https://github.com/magenta/ddsp
@Machine_learn
sites.research.google
Tone Transfer — Magenta DDSP
Play around with different inputs and outputs to see how machine learning transforms sounds.
Partial FC
Distributed deep learning training framework for face recognition.
Github: https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc
Paper: https://arxiv.org/abs/2010.05222v1
Largest Face Recognition Dataset: https://www.dropbox.com/sh/gdix4jabzlwtk72/AAAXEItN1zwdo_tzOx5-QqHWa?dl=0
@Machine_learn
Distributed deep learning training framework for face recognition.
Github: https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc
Paper: https://arxiv.org/abs/2010.05222v1
Largest Face Recognition Dataset: https://www.dropbox.com/sh/gdix4jabzlwtk72/AAAXEItN1zwdo_tzOx5-QqHWa?dl=0
@Machine_learn
Recreating Historical Streetscapes Using Deep Learning and Crowdsourcing
https://ai.googleblog.com/2020/10/recreating-historical-streetscapes.html
@Machine_learn
https://ai.googleblog.com/2020/10/recreating-historical-streetscapes.html
@Machine_learn
research.google
Recreating Historical Streetscapes Using Deep Learning and Crowdsourcing
Posted by Raimondas Kiveris, Software Engineer, Google Research For many, gazing at an old photo of a city can evoke feelings of both nostalgia and...
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Github: https://github.com/Guepardow/Visual-features
Paper: https://arxiv.org/abs/2010.07881
@Machine_learn
Github: https://github.com/Guepardow/Visual-features
Paper: https://arxiv.org/abs/2010.07881
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LRS(1).pdf
3.2 MB
How is Machine Learning used in the LinkedIn Recruiter Recommendation System
@Machine_learn
@Machine_learn
New Approaches to Object Detection
source code: https://github.com/Ximilar-com/xcenternet
paper : https://arxiv.org/abs/1904.07850
https://towardsdatascience.com/new-approaches-to-object-detection-f5cbc925e00e
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source code: https://github.com/Ximilar-com/xcenternet
paper : https://arxiv.org/abs/1904.07850
https://towardsdatascience.com/new-approaches-to-object-detection-f5cbc925e00e
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Advanced YouTube Video Downloader using Python
https://morioh.com/p/4e7657ecf335
Code: https://github.com/Spidy20/IPL_Score_Notifier
@Machine_learn
https://morioh.com/p/4e7657ecf335
Code: https://github.com/Spidy20/IPL_Score_Notifier
@Machine_learn
📡 Athena is an open-source implementation of end-to-end speech processing engine
Github: https://github.com/athena-team/athena
Paper: https://arxiv.org/abs/2010.13991v1
@Machine_learn
Github: https://github.com/athena-team/athena
Paper: https://arxiv.org/abs/2010.13991v1
@Machine_learn
Trajectory-wise Multiple Choice Learning for Generalization in Reinforcement Learning
https://github.com/younggyoseo/trajectory_mcl
@Machine_learn
https://github.com/younggyoseo/trajectory_mcl
@Machine_learn
Dealing with Imbalanced Data in Machine Learning
https://www.kdnuggets.com/2020/10/imbalanced-data-machine-learning.html
Code: https://github.com/mwitiderrick/imbalanced-data
@Machine_learn
https://www.kdnuggets.com/2020/10/imbalanced-data-machine-learning.html
Code: https://github.com/mwitiderrick/imbalanced-data
@Machine_learn
KDnuggets
Dealing with Imbalanced Data in Machine Learning
This article presents tools & techniques for handling data when it's imbalanced.
با عرض سلام
دوستانی که تمایل به مشارکت در کار پژوهشی به عنوان اسپانسر دارند می توانند به بنده جهت هماهنگی پیام بدهند.
@Raminmousa
دوستانی که تمایل به مشارکت در کار پژوهشی به عنوان اسپانسر دارند می توانند به بنده جهت هماهنگی پیام بدهند.
@Raminmousa
machine-learning-cheat-sheet.pdf
1.9 MB
Machine Learning Cheat Sheet
Classical equations, diagrams and tricks in machine learning
#ML #Cheat_Sheet
@Machine_learn
Classical equations, diagrams and tricks in machine learning
#ML #Cheat_Sheet
@Machine_learn
❤1
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
@Machine_learn
https://blog.tensorflow.org/2020/11/new-coral-apis-and-tools-for-ai-at-edge.html
@Machine_learn
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.
Data Ethics course: https://t.co/1vLF2rzuTd
Deep Learning course: https://t.co/KgtHR2B9Vk
Data Science blog: https://t.co/ZWYKPXufDW
Diversity blog: https://t.co/cCuOAEtEAj
NLP: https://t.co/zC31JsKLwz
Talks: https://t.co/msa2Sh3UCI
Medicine, AI, & Bias: https://t.co/w1yK7GP5i0
@Machine_learn
Deep Learning course: https://t.co/KgtHR2B9Vk
Data Science blog: https://t.co/ZWYKPXufDW
Diversity blog: https://t.co/cCuOAEtEAj
NLP: https://t.co/zC31JsKLwz
Talks: https://t.co/msa2Sh3UCI
Medicine, AI, & Bias: https://t.co/w1yK7GP5i0
@Machine_learn
ethics.fast.ai
Practical Data Ethics
Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism
XLA: Optimizing Compiler for Machine Learning | TensorFlow
https://www.tensorflow.org/xla
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https://www.tensorflow.org/xla
@Machine_learn
OpenXLA Project