[👉] FDC [👈]

Description

• Personal workplace to log something learned.

  theme	description	location	is_project	last_update
  langchain	analysis of langchain modules 1. langchain Retrieval wrapping 2. custom LLMChain	fdc/langchain	True	23.11
  nlp	nlp algorithm dev from scratch 1. skipgram from scratch 2. traditional word embedding 3. mmr algorithm implementation 4. wordnet introduction	fdc/nlp	False	23.08
  dataforge	data parser 1. html processing & llm interaction 2. pdf processing	fdc/parser	True	23.11
  docker	docker basic & advanced usage	fdc/docker	False	23.11

• Additionally, here to upload personally developed and useful modules created during the projects.

  • However, due to security concerns, only a portion of the modules that are publicly releasable may be included here.
  • Detailed information about the projects will be provided on github.io.

• The majority of the code is written in the Python language, and the modules are stored as .py files.

  • Notably, pytest has not been implemented yet. For guidance on using the modules from each project, please refer to the .ipynb files.
  • Alternatively, check for detailed usage instructions in the README.md file within each project; it serves as a useful guide.