AK-1 · document
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
§Communities
This library is continuously updated. If you have suggestions for additions, feel free to reach out!