Pinned Repositories
chatgpt-tutorial
`진짜 챗GPT 활용법` 교재의 깃허브입니다.
data-pipelines-with-apache-airflow
Fast_Sentence_Embeddings
Compute Sentence Embeddings Fast!
NER-Evaluation
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
openai-cookbook
Examples and guides for using the OpenAI API
prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
SIF
sentence embedding by Smooth Inverse Frequency weighting scheme
tenacity
Retrying library for Python
hyjin-asc's Repositories
hyjin-asc/chatgpt-tutorial
`진짜 챗GPT 활용법` 교재의 깃허브입니다.
hyjin-asc/openai-cookbook
Examples and guides for using the OpenAI API
hyjin-asc/data-pipelines-with-apache-airflow
hyjin-asc/Fast_Sentence_Embeddings
Compute Sentence Embeddings Fast!
hyjin-asc/NER-Evaluation
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
hyjin-asc/prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
hyjin-asc/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
hyjin-asc/SIF
sentence embedding by Smooth Inverse Frequency weighting scheme
hyjin-asc/tenacity
Retrying library for Python