Machinelearning

DeText: A Deep Neural Text Understanding Framework

DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.

Github: https://github.com/linkedin/detext

Paper: https://arxiv.org/abs/2008.02460v1

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7.17K views07:19

Machinelearning

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets

Github: https://github.com/facebookresearch/QA-Overlap

Paper: https://arxiv.org/abs/2008.02637

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GitHub

GitHub - facebookresearch/QA-Overlap: Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question…

Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets" - GitHub - facebookresearch/QA-Overlap: Code to support the paper &am...

7.09K views07:47

Machinelearning

Layerwise learning for Quantum Neural Networks

Training strategy that addresses vanishing gradients in quantum neural networks (QNNs).

https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html

Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk

Paper: https://arxiv.org/abs/2003.02989

Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw

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👍1

7.46K views07:13

Machinelearning

LSTM in Machine Learning

https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/

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AmanXai by Aman Kharwal

LSTM in Machine Learning | Aman Kharwal

The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally

6.77K views07:22

Machinelearning

5 Machine Learning Regression Algorithms You Need to Know

https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d

habr ru: https://habr.com/ru/company/mailru/blog/513842/

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Medium

5 Machine Learning Regression Algorithms You Need to Know

Yes, Linear Regression isn’t the only one

7.35K views07:10

Machinelearning

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TensorFlow Model Optimization Toolkit — Weight Clustering API

https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html

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6.84K views07:10

Machinelearning

Plot a Decision Surface for Machine Learning Algorithms in Python

https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/

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MachineLearningMastery.com

Plot a Decision Surface for Machine Learning Algorithms in Python - MachineLearningMastery.com

Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.

A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…

7.38K views05:50

Machinelearning

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Github: https://github.com/ZHKKKe/PixelSSL

Paper: https://arxiv.org/abs/2008.05258

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6.93K viewsedited 06:02

Machinelearning

🔥 Language Interpretability Tool

Open-source platform for visualization and understanding of NLP models.

Github: https://github.com/PAIR-code/lit

Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md

Paper: https://arxiv.org/abs/2008.05122

Video: https://www.youtube.com/watch?v=j0OfBWFUqIE

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8.25K views06:53

Machinelearning

Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs

https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/

Github: https://github.com/tmbdev/webdataset

Documentation: https://webdataset.readthedocs.io/en/latest/

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7.49K views06:05

Machinelearning

Content-Based Recommendation System using Word Embeddings

https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html

Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data

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KDnuggets

Content-Based Recommendation System using Word Embeddings - KDnuggets

This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.

7.6K views08:10

Machinelearning

PyTorch 1.6 now includes Stochastic Weight Averaging

https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/

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7.33K views06:51

Machinelearning

Understanding Deep Learning on Controlled Noisy Labels

https://ai.googleblog.com/2020/08/understanding-deep-learning-on.html

Code: https://github.com/google-research/google-research/tree/master/mentormix

Dataset: https://google.github.io/controlled-noisy-web-labels/index.html

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Googleblog

Understanding Deep Learning on Controlled Noisy Labels

7.36K views06:07

Machinelearning

📗 Forward from the 'Deep Learning for Coders' Book

Post: https://www.fast.ai/2020/08/20/soumith-forward/

Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb

Github: https://github.com/fastai/fastbook

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👍1

7.6K views06:22

Machinelearning

Facebook research at ECCV 2020

https://ai.facebook.com/blog/facebook-research-at-eccv-2020/

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Facebook

Facebook research at ECCV 2020

Facebook researchers and engineers specializing in computer vision, AR/VR, artificial intelligence, infrastructure, and more will be presenting their research…

7.52K views07:05

Machinelearning

Introducing Semantic Reactor: Explore NLP in Google Sheets

https://blog.tensorflow.org/2020/08/introducing-semantic-reactor-explore-nlp-sheets.html

Code sample: https://github.com/google/making_with_ml/blob/master/semantic_ml/use_sample.js

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blog.tensorflow.org

Introducing Semantic Reactor: Explore NLP in Google Sheets

The Semantic Reactor is a new plugin for Google Sheets that lets you run natural language understanding (NLU) models on your own data, right from a spreadsheet.

7.77K views06:42

Machinelearning

Building a Neural Network to Predict Loan Risk

https://tymick.me/blog/loan-risk-neural-network

Github: https://github.com/tywmick/loan-risk-neural-network

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Ty Mick

Building a Neural Network to Predict Loan Risk - Ty Mick

or, Ty Goes Into Far Too Much Detail About Cleaning Data

7.99K views06:09

Machinelearning

PyTorch framework for cryptographically secure random number generation, torchcsprng, now available

https://pytorch.org/blog/torchcsprng-release-blog/

PyTorch

PyTorch framework for cryptographically secure random number generation, torchcsprng, now available

One of the key components of modern cryptography is the pseudorandom number generator. Katz and Lindell stated, “The use of badly designed or inappropriate random number generators can often leave a good cryptosystem vulnerable to attack. Particular care…

7.02K views06:59

Machinelearning

Introducing TF-Coder, a tool that writes tricky TensorFlow expressions for you

https://blog.tensorflow.org/2020/08/introducing-tensorflow-coder-tool.html

Paper: https://arxiv.org/abs/2003.09040

Code: https://github.com/google-research/tensorflow-coder

Colab: https://colab.research.google.com/github/google-research/tensorflow-coder/blob/master/TF-Coder_Colab.ipynb

blog.tensorflow.org

Introducing TF-Coder, a tool that writes tricky TensorFlow expressions for you!

TF-Coder is a program synthesis tool that helps you write TensorFlow code. Instead of coding a tricky tensor manipulation directly, you can just demonstrate it through an illustrative example, and TF-Coder provides the corresponding code automatically.

7.64K views08:02

Machinelearning