kenhktsui

6 ms·

1. 1.▲
   by kenhktsui 2y ago

   Hi HN community, In this release, I introduced synthetic data generation for text classification. As a result, one can build classifiers from scratch, even without a dataset. It achieves competitive results with synthetic data, comparable t
2. 2.▲
   Show HN: AnyClassifier – One Line to Build Zero-Data Classifiers in Minutes(github.com)

   2 points by kenhktsui 2y ago|1 comments
3. 3.▲
   by kenhktsui 2y ago

   Hi HN, I would like to share this with all of you. AnyClassifier is a framework that helps you build a classifier without any label, with as limited coding as possible. As a machine learning engineer, one of the unavoidable but the most he
4. 4.▲
   Show HN: AnyClassifier – One Line to Build Any Classifier Without Data(github.com)

   1 points by kenhktsui 2y ago|1 comments
5. 5.▲
   by kenhktsui 2y ago

   Thanks for links. Let me set up a battle between GNUGo and GoFormer. I was also inspired by how well it played chess, so I am trying to train one to challenge Go. It is still an early version as I am still enhancing the model with more dat
6. 6.▲
   Show HN: GoFormer – Language Model That Plays Go(github.com)

   2 points by kenhktsui 2y ago|2 comments
7. 7.▲
   Low Latency CPU Based Educational Value Classifier with Generic Educational Val(huggingface.co)

   1 points by kenhktsui 2y ago|0 comments