This repository is a Chinese-language chatbot built with Rasa 1.10.18, a now-deprecated version of the Rasa framework. It implements a simple customer service bot for telecom queries (phone bill and data usage) using a BERT-based NLU pipeline (HFTransformersNLP with bert-base-chinese) and a rule-based dialogue management system with story-driven flows. The codebase is minimal: a single custom action for querying consumption, a few intents and entities, and a set of dialogue stories. The project is functional but lacks tests, CI/CD, or modern Rasa practices. The pinned dependencies (rasa==1.10.18, transformers==2.4.1) are severely outdated, and the code relies on deprecated Rasa components. While the repository has accumulated stars (983) due to its accompanying blog series, the actual code is a basic Rasa template with little reusable craftsmanship. It serves as a learning example for building a Chinese chatbot with Rasa 1.x, but is not suitable for production or reuse without significant modernization.
This repository is a curated 'awesome list' (bibliography) of research papers, datasets, and software tools at the intersection of artificial intelligence and molecular dynamics/conformational analysis. It contains no executable code, data files, or notebooks—only a single README.md that organizes hundreds of references by topic (e.g., neural network potentials, force fields, generative models for protein conformations, AlphaFold-based methods). The repo serves as a comprehensive literature index for researchers in computational chemistry and structural biology, but it is not a functional software project or data pipeline. No raw data, transformation scripts, or analytical models are present; reproducibility is not applicable.