New deep learning course, four libraries, and 600-page book
https://www.fast.ai/2020/08/21/fastai2-launch/
https://www.fast.ai/2020/08/21/fastai2-launch/
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Github: https://github.com/yijingru/BBAVectors-Oriented-Object-Detection
Paper: https://arxiv.org/abs/2008.07043v1
Github: https://github.com/yijingru/BBAVectors-Oriented-Object-Detection
Paper: https://arxiv.org/abs/2008.07043v1
GitHub
GitHub - yijingru/BBAVectors-Oriented-Object-Detection: [WACV2021] Oriented Object Detection in Aerial Images with Box Boundary…
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors - yijingru/BBAVectors-Oriented-Object-Detection
How to Set Axis for Rows and Columns in NumPy
https://machinelearningmastery.com/numpy-axis-for-rows-and-columns/
@ArtificialIntelligencedl
https://machinelearningmastery.com/numpy-axis-for-rows-and-columns/
@ArtificialIntelligencedl
MachineLearningMastery.com
How to Set Axis for Rows and Columns in NumPy - MachineLearningMastery.com
NumPy arrays provide a fast and efficient way to store and manipulate data in Python. They are particularly useful for representing data as vectors and matrices in machine learning. Data in NumPy arrays can be accessed directly via column and row indexes…
Introducing Danfo.js, a Pandas-like Library in JavaScript
https://blog.tensorflow.org/2020/08/introducing-danfo-js-pandas-like-library-in-javascript.html
https://blog.tensorflow.org/2020/08/introducing-danfo-js-pandas-like-library-in-javascript.html
blog.tensorflow.org
Introducing Danfo.js, a Pandas-like Library in JavaScript
Danfo.js is an open-source, JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. Danfo.js is heavily inspired by the Python Pandas library and provides a similar interface/API.…
Axial-DeepLab: Long-Range Modeling in All Layers for Panoptic Segmentation
https://ai.googleblog.com/2020/08/axial-deeplab-long-range-modeling-in.html
https://ai.googleblog.com/2020/08/axial-deeplab-long-range-modeling-in.html
research.google
Axial-DeepLab: Long-Range Modeling in All Layers for Panoptic Segmentation
Posted by Huiyu Wang, Student Researcher and Yukun Zhu, Software Engineer, Google Research The success of convolutional neural networks (CNNs) main...
Deep Learning Models for Multi-Output Regression
https://machinelearningmastery.com/deep-learning-models-for-multi-output-regression/
https://machinelearningmastery.com/deep-learning-models-for-multi-output-regression/
MachineLearningMastery.com
Deep Learning Models for Multi-Output Regression - MachineLearningMastery.com
Multi-output regression involves predicting two or more numerical variables. Unlike normal regression where a single value is predicted for each sample, multi-output regression requires specialized machine learning algorithms that support outputting multiple…
Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune
https://neptune.ai/blog/explainable-and-reproducible-machine-learning-with-dalex-and-neptune
https://neptune.ai/blog/explainable-and-reproducible-machine-learning-with-dalex-and-neptune
neptune.ai
Blog - neptune.ai
Blog for ML practicioners with articles about MLOps, ML tools, and other ML-related topics. You'll find here guides, tutorials, case studies, tools reviews, and more.
Image Processing using pgmagick and Python | i2tutorials
https://www.i2tutorials.com/image-processing-using-pgmagick-and-python/
https://www.i2tutorials.com/image-processing-using-pgmagick-and-python/
i2tutorials
Image Processing using pgmagick and Python | i2tutorials
Image processing is the method through which we can do a certain operation on image to enhance and to extract some useful knowledge from the image.
⭐ Fast Supernovae Detection using Neural Networks
https://blog.tensorflow.org/2020/09/fast-supernovae-detection-using-neural-networks.html
Automatic Learning for the Rapid Classification of Events: https://alerce.science/
https://blog.tensorflow.org/2020/09/fast-supernovae-detection-using-neural-networks.html
Automatic Learning for the Rapid Classification of Events: https://alerce.science/
blog.tensorflow.org
Fast Supernovae Detection using Neural Networks
Learn about Fast Supernovae Detection with @TensorFlow in this guest post by Rodrigo Carrasco-Davis and the ALeRCE Collaboration @alercebroker.
KeyPose: Estimating the 3D Pose of Transparent Objects from Stereo
https://ai.googleblog.com/2020/09/keypose-estimating-3d-pose-of.html
https://ai.googleblog.com/2020/09/keypose-estimating-3d-pose-of.html
Google AI Blog
KeyPose: Estimating the 3D Pose of Transparent Objects from Stereo
Posted by Kurt Konolige, Software Engineer, Robotics at Google Estimating the position and orientation of 3D objects is one of the core p...
Basic Example of Neural Style Transfer
https://becominghuman.ai/basic-example-of-neural-style-transfer-predictive-hacks-bc45a88017b3
https://becominghuman.ai/basic-example-of-neural-style-transfer-predictive-hacks-bc45a88017b3
MushroomRL
Reinforcement Learning Python library
Github: https://github.com/MushroomRL/mushroom-rl
Project page: https://github.com/openai/mujoco-py
Reinforcement Learning Python library
Github: https://github.com/MushroomRL/mushroom-rl
Project page: https://github.com/openai/mujoco-py
GitHub
GitHub - MushroomRL/mushroom-rl: Python library for Reinforcement Learning.
Python library for Reinforcement Learning. Contribute to MushroomRL/mushroom-rl development by creating an account on GitHub.
Computer Vision Recipes: Best Practices and Examples
https://www.kdnuggets.com/2020/09/computer-vision-recipes-best-practices-examples.html
https://www.kdnuggets.com/2020/09/computer-vision-recipes-best-practices-examples.html
KDnuggets
Computer Vision Recipes: Best Practices and Examples - KDnuggets
This is an overview of a great computer vision resource from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.
The Technology Behind our Recent Improvements in Flood Forecasting
https://ai.googleblog.com/2020/09/the-technology-behind-our-recent.html
https://ai.googleblog.com/2020/09/the-technology-behind-our-recent.html
Googleblog
The Technology Behind our Recent Improvements in Flood Forecasting
This AI Creates Human Faces From Your Sketches!
https://www.youtube.com/watch?v=5NM_WBI9UBE
Paper: https://arxiv.org/abs/2006.01047
https://www.youtube.com/watch?v=5NM_WBI9UBE
Paper: https://arxiv.org/abs/2006.01047
YouTube
This AI Creates Human Faces From Your Sketches!
❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
❤️ Their instrumentation of a previous paper is available here: https://app.wandb.ai/stacey/greenscreen/reports/Two-Shots-to-Green-Screen%3A-Collage-with-Deep-Learning…
❤️ Their instrumentation of a previous paper is available here: https://app.wandb.ai/stacey/greenscreen/reports/Two-Shots-to-Green-Screen%3A-Collage-with-Deep-Learning…
Object Detection with Synthetic Data IV: What’s in the Fridge?
https://synthesis.ai/2020/09/02/object-detection-with-synthetic-data-iv-whats-in-the-fridge/
https://synthesis.ai/2020/09/02/object-detection-with-synthetic-data-iv-whats-in-the-fridge/
Easy ML mobile development with TensorFlow Lite Task Library
https://blog.tensorflow.org/2020/09/introducing-tensorflow-lite-task-library.html
https://blog.tensorflow.org/2020/09/introducing-tensorflow-lite-task-library.html
blog.tensorflow.org
Easy ML mobile development with TensorFlow Lite Task Library
TensorFlow Lite Task Library is a set of powerful and easy-to-use task-specific APIs for app developers to create ML experiences with TensorFlow Lite. Inference can be done within just 5 lines of code!