Gim Seng

Hi, I'd like to use BERT-NER for inference, mainly to recognise ORG. I have been able to do so with CPU, now I'd like to know two things: 1. Would...

Create cheatsheets

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- [ ] Python refresher - [ ] Numpy and Pandas cheatsheet - [ ] Sklearn cheatsheet - [ ] PyTorch cheatsheet - [ ] TensorFlow cheatsheet

[EXE] A simple exercise to understand stochastic gradient descent

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In particular, help a learner to learn full gradient descent, mini-batch stochastic gradient descent and etc. It could be on linear regression or some simple neural network or etc. But...

[EXE] An exercise to learn support vector machine (SVM)

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#### Learning Goals Learn the basic and how to optimize / fine-tune hyperparameters of SVM.

[EXE] An exercise to learn decision tree

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#### Learning Goals A in-depth exercise to explore and learn the different aspects/hyperparameters of decision tree. Preferably using scikit-learn. ### Prerequisites A basic understanding of decision-tree, though this exercise is...

[EXE] Exercise to use huggingface

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Some exercises and solution based on using [huggingface](https://github.com/huggingface) will be cool. This is an advanced project. For examples, use the library to perform BERT or GPT-2 analysis on some fun...

[EXE] GPT-2 Use

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#### Learning Goals OpenAI has generated lots of hype with GPT-3. In some way, its like GAN but for NLP to generate 'fake' texts with some primes and prompts. The...

Links and relations to other code-based open source learning project

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1.a. Curate a list of GitHub-hosted code examples/exercises. From the top of my head, I could think of [joelgrus](https://github.com/joelgrus/data-science-from-scratch) and [ageron](https://github.com/joelgrus/data-science-from-scratch). Both are fantastic resources. b. Since these other resources...

[EXE] Learning KNN supervised classification

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#### Learning Goals Learn kNN algorithm for supervised classifications. Preferably use the kNN package from scikit-learn. ### Prerequisites Some basic of kNN will be assumed. If scikit-learn is used, some...

[EXE] Learn regularizations

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#### Learning Goals Learn different methods of regularizing the models. This could be as basic as the L1, L2 (or ridge/Lasso) regularization or more sophisticated ones in other methods (like...