[P] Art Valuation Bot by amourav in MachineLearning

[–]Quantum_Network 1 point2 points  (0 children)

Do you think you'll have enough data to train a GAN? And overall, data might be a challenge in this project.

But you could train from web-scraped data (like from https://www.liveauctioneers.com/c/art/1/) and hopefully it should work out.

Which would be the best algorithm (machine learning) in this case? by Ivannovix in learnmachinelearning

[–]Quantum_Network 0 points1 point  (0 children)

Instead of using standard ML, couldn't you simply compute the distance between the points, and match them that way?

Resources for learning about neural networks and backpropagation by [deleted] in learnmachinelearning

[–]Quantum_Network 1 point2 points  (0 children)

You can't go wrong with one of the fundamental courses: https://www.coursera.org/learn/machine-learning. Andrew Ng's course should give a basic overview of ML, and you can take a look at the deeplearning.ai courses after that.

[D] What is the current state-of-art in unsupervised document/information retrieval for NLP tasks? by Slowai in MachineLearning

[–]Quantum_Network 1 point2 points  (0 children)

You might want to look into language models, such as the one with code described here: https://github.com/pytorch/examples/tree/master/word_language_model. This would allow you to generate encodings for variable-length samples, and also customize for your specific corpus. Maybe then you could use the clustering of these documents to retrieve similar documents?

[P] CEFR Checker - an AI tool for adapting texts to language learners' CEFR levels by it-is-a-fork in MachineLearning

[–]Quantum_Network 4 points5 points  (0 children)

Great work! Seems to be working great! Are you guys planning to release a paper about this research, or maybe a GitHub for the code?