Predicting Popularity of The New York Times Comments (Part 1)


Article with the #NLP research of NYT comments. Nice example of the applied #research job.

Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone

Predicting Popularity of The New York Times Comments (Part 1)


Article with the #NLP research of NYT comments. Nice example of the applied #research job.

Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone

The lottery ticket hypothesis: finding sparse, trainable neural networks

Best paper award at #ICLR2019 main idea: dense, randomly-initialized, networks contain sparse subnetworks that trained in isolation reach test accuracy comparable to the original network. Thus compressing the original network up to 10% its original size.

Paper: https://arxiv.org/pdf/1803.03635.pdf

#nn #research

PyTorch for research

PyTorch Lightning — The PyTorch Keras for ML researchers. More control. Less boilerplate.

Github: https://github.com/williamFalcon/pytorch-lightning

#PyTorch #Research #OpenSource

Practical ML Conf - The biggest offline ML conference of the year in Moscow.

- https://pmlconf.yandex.ru
- September 7, Moscow
- For speakers: offline
- For participants: offline and online (youtube)
- The conference language is Russian.

Call for propose is open https://pmlconf.yandex.ru/call_for_papers

#conference #nlp #cv #genAI #recsys #mlops #ecomm #hardware #research #offline #online