Library #

A curated collection of resources, papers, and tools that I find valuable for NLP and Machine Learning research and practice.

📚 Essential Papers #

Language Models #

• Attention Is All You Need - Vaswani et al. (2017)
• BERT: Pre-training of Deep Bidirectional Transformers - Devlin et al. (2018)
• Language Models are Few-Shot Learners - Brown et al. (2020)

Indonesian NLP #

• IndoBERT: A Pre-trained Language Model for Indonesian Language Understanding - Koto et al. (2020)
• Towards a Standardized and More Accurate Indonesian Part-of-Speech Tagging - Alfina et al. (2020)

🛠️ Tools & Frameworks #

Deep Learning #

• PyTorch - Primary framework for research and development
• Transformers - Hugging Face library for transformer models
• FastAPI - For building ML APIs

Data Processing #

• spaCy - Industrial-strength NLP
• NLTK - Natural Language Toolkit
• Pandas - Data manipulation and analysis

📖 Books #

Technical #

• Speech and Language Processing - Jurafsky & Martin
• Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville
• Hands-On Machine Learning - Aurélien Géron

Professional Development #

• The Pragmatic Programmer - David Thomas & Andrew Hunt
• Staff Engineer - Will Larson

🔗 Useful Links #

Datasets #

• Indonesian NLP Dataset Collection
• Papers with Code - NLP

Communities #

• Indonesian NLP Community
• Hugging Face Community

This library is continuously updated. If you have suggestions for additions, feel free to reach out!