Summaries for exciting works in the field of Deep Learning.
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
A curated collection of NLP and LLM resources. Covers essential papers and blogs on Transformers, Reinforcement Learning (RLHF, DPO, GRPO), Mechanistic Interpretability, Scaling Laws, and MLSys.
This repository is a comprehensive collection of research papers, annotations, and concise summaries in the field of Natural Language Processing (NLP). It focuses on machine learning and deep learning techniques, providing valuable resources for NLP enthusiasts and researchers.
A curated collection of NLP research papers, models, datasets, and tools covering fundamentals, advanced techniques, and real-world applications. 🚀
Automate daily collection and analysis of AI coding assistant logs to generate structured, local-time aware work summaries.
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