Recursive Feature Elimination (RFE) for Feature Selection in Python
https://machinelearningmastery.com/rfe-feature-selection-in-python/
https://machinelearningmastery.com/rfe-feature-selection-in-python/
Point2Mesh in PyTorch
Point2Mesh, a technique for reconstructing a surface mesh from an input point cloud.
https://ranahanocka.github.io/point2mesh/
Github: https://github.com/ranahanocka/point2mesh
Paper: https://arxiv.org/abs/2005.11084
Point2Mesh, a technique for reconstructing a surface mesh from an input point cloud.
https://ranahanocka.github.io/point2mesh/
Github: https://github.com/ranahanocka/point2mesh
Paper: https://arxiv.org/abs/2005.11084
GitHub
GitHub - ranahanocka/point2mesh: Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020] - ranahanocka/point2mesh
How to Use Polynomial Feature Transforms for Machine Learning
https://machinelearningmastery.com/polynomial-features-transforms-for-machine-learning/
https://machinelearningmastery.com/polynomial-features-transforms-for-machine-learning/
GPT-3: Language Models are Few-Shot Learners
Github: https://github.com/openai/gpt-3
Paper: https://arxiv.org/abs/2005.14165v1
Github: https://github.com/openai/gpt-3
Paper: https://arxiv.org/abs/2005.14165v1
GitHub
GitHub - openai/gpt-3: GPT-3: Language Models are Few-Shot Learners
GPT-3: Language Models are Few-Shot Learners. Contribute to openai/gpt-3 development by creating an account on GitHub.
DADS: Unsupervised Reinforcement Learning for Skill Discovery
https://ai.googleblog.com/2020/05/dads-unsupervised-reinforcement.html
https://ai.googleblog.com/2020/05/dads-unsupervised-reinforcement.html
blog.research.google
DADS: Unsupervised Reinforcement Learning for Skill Discovery
Finding Cross-Lingual Syntax in Multilingual BERT
http://ai.stanford.edu/blog/finding-crosslingual-syntax/
http://ai.stanford.edu/blog/finding-crosslingual-syntax/
Eisen
A simple, fast and robust deep learning development framework
https://github.com/eisen-ai/eisen-core
https://eisen-ai.github.io/
A simple, fast and robust deep learning development framework
https://github.com/eisen-ai/eisen-core
https://eisen-ai.github.io/
GitHub
eisen-ai/eisen-core
Core functionality of Eisen. Contribute to eisen-ai/eisen-core development by creating an account on GitHub.
How to Perform Feature Selection With Numerical Input Data - Machine Learning Mastery
https://machinelearningmastery.com/feature-selection-with-numerical-input-data/
https://machinelearningmastery.com/feature-selection-with-numerical-input-data/
MachineLearningMastery.com
How to Perform Feature Selection With Numerical Input Data - MachineLearningMastery.com
Feature selection is the process of identifying and selecting a subset of input features that are most relevant to the target variable. Feature selection is often straightforward when working with real-valued input and output data, such as using the Pearson’s…
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
https://www.catalyzex.com/paper/arxiv:2003.06754
https://www.catalyzex.com/paper/arxiv:2003.06754
How Detectron2 helps make mines safer and more efficient
https://ai.facebook.com/blog/how-detectron2-helps-make-mines-safer-and-more-efficient/
Article: https://medium.com/pytorch/how-datarock-is-using-pytorch-for-more-intelligent-decision-making-d5d1694ba170
https://ai.facebook.com/blog/how-detectron2-helps-make-mines-safer-and-more-efficient/
Article: https://medium.com/pytorch/how-datarock-is-using-pytorch-for-more-intelligent-decision-making-d5d1694ba170
Facebook
How Detectron2 helps make mines safer and more efficient
Datarock, a SaaS solution targeted at the mining industry, leverages various PyTorch tools, including PyTorch-based object detection library Detectron2, to train ML models with geological imagery.
BentoML
BentoML is an open-source platform for high-performance ML model serving.
https://github.com/bentoml/BentoML
bentoml/BentoML
BentoML is an open-source platform for high-performance ML model serving.
https://github.com/bentoml/BentoML
bentoml/BentoML
GitHub
GitHub - bentoml/BentoML: The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi…
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! - bentoml/BentoML
Nonparametric Feature Impact and Importance
stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
Paper: https://arxiv.org/abs/2006.04750v1
Github: https://github.com/parrt/stratx
stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
Paper: https://arxiv.org/abs/2006.04750v1
Github: https://github.com/parrt/stratx
GitHub
GitHub - parrt/stratx: stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables - parrt/stratx
Extracting Structured Data from Templatic Documents
https://ai.googleblog.com/2020/06/extracting-structured-data-from.html
https://ai.googleblog.com/2020/06/extracting-structured-data-from.html