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!
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.
https://github.com/ritchieng/the-incredible-pytorch
https://github.com/ritchieng/the-incredible-pytorch
GitHub
GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and…
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. - GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list...
Tsetlin Machine
The Tsetlin Machine solves complex pattern recognition problems with easy-to-interpret propositional formulas, composed by a collective of Tsetlin Automata.
Github: https://github.com/cair/TsetlinMachine
Paper: https://arxiv.org/abs/1804.01508
The Tsetlin Machine solves complex pattern recognition problems with easy-to-interpret propositional formulas, composed by a collective of Tsetlin Automata.
Github: https://github.com/cair/TsetlinMachine
Paper: https://arxiv.org/abs/1804.01508
Hyperparameter Optimization With Random Search and Grid Search
https://machinelearningmastery.com/hyperparameter-optimization-with-random-search-and-grid-search/
https://machinelearningmastery.com/hyperparameter-optimization-with-random-search-and-grid-search/
MachineLearningMastery.com
Hyperparameter Optimization With Random Search and Grid Search - MachineLearningMastery.com
Machine learning models have hyperparameters that you must set in order to customize the model to your dataset. Often the general effects of hyperparameters on a model are known, but how to best set a hyperparameter and combinations of interacting hyperparameters…
Introduction to TFLite On-device Recommendation
https://blog.tensorflow.org/2020/09/introduction-to-tflite-on-device-recommendation.html
https://blog.tensorflow.org/2020/09/introduction-to-tflite-on-device-recommendation.html
blog.tensorflow.org
Introduction to TFLite On-device Recommendation
An introduction to the open-sourced end-to-end solution for TFLite on-device recommendations, that are personalized, low-latency, high-quality and privacy preserving.
Can An AI Generate Original Art? 👨🎨
https://www.youtube.com/watch?v=GniyQkgGlUA
📝 The paper "Rewriting a Deep Generative Model" is available here: https://rewriting.csail.mit.edu/
https://www.youtube.com/watch?v=GniyQkgGlUA
📝 The paper "Rewriting a Deep Generative Model" is available here: https://rewriting.csail.mit.edu/
YouTube
Can An AI Create Original Art? 👨🎨
❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
❤️ Their report on this paper is available here: https://app.wandb.ai/authors/rewrite-gan/reports/An-Overview-Rewriting-a-Deep-Generative-Model--VmlldzoyMzgyNTU…
❤️ Their report on this paper is available here: https://app.wandb.ai/authors/rewrite-gan/reports/An-Overview-Rewriting-a-Deep-Generative-Model--VmlldzoyMzgyNTU…
What’s new in TensorFlow Lite for NLP
https://blog.tensorflow.org/2020/09/whats-new-in-tensorflow-lite-for-nlp.html
https://blog.tensorflow.org/2020/09/whats-new-in-tensorflow-lite-for-nlp.html
blog.tensorflow.org
What’s new in TensorFlow Lite for NLP
This blog introduces the end-to-end support for NLP tasks based on TensorFlow Lite. It describes new features including pre-trained NLP models, model creation, conversion and deployment on edge devices.
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0
https://ai.googleblog.com/2020/09/improving-accuracy-of-genomic-analysis.html
https://ai.googleblog.com/2020/09/improving-accuracy-of-genomic-analysis.html
research.google
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0
Posted by Andrew Carroll, Product Lead and Pi-Chuan Chang, Technical Lead, Google Health Sequencing genomes involves sampling short pieces of the D...