xocelyk

xocelyk's Stars

• thestephencasper/everything-you-need

  we got you bro

  32

• zlin7/UQ-NLG

  Language:Jupyter Notebook686

• dtsip/in-context-learning

  Language:Jupyter Notebook18838

• METR/task-standard

  METR Task Standard

  Language:TypeScript11128

• linexjlin/GPTs

  leaked prompts of GPTs

  28.3k3.8k

• openai/openai-python

  The official Python library for the OpenAI API

  Language:Python22k3k

• ngruver/llmtime

  Language:Jupyter Notebook658151

• ramirobentes/nba_pbp_data

  NBA play-by-play data with several use cases

  131

• lukeboi/scroll-first-letters

  Language:Python28717

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python4.6k426

• ChicagoHAI/active-example-selection

  Active Example Selection for In-Context Learning (EMNLP'22)

  Language:Python432

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook9.3k642

• healthylaife/MIMIC-IV-Data-Pipeline

  A customizable pipeline for data extraction from MIMIC-IV.

  Language:Jupyter Notebook17257

• caesarHQ/textSQL

  Language:JavaScript1.5k153

• prophesier/diff-svc

  Singing Voice Conversion via diffusion model

  Language:Jupyter Notebook2.6k802

• SamotsvetyForecasting/optimal-scoring

  This git repository outlines three scoring rules that I believe might serve current forecasting platforms better than current alternatives. It stems from my frustrations with current scoring rules and with the Keynesian Beauty Contest method used in Karger et al. to resolve questions which may otherwise seem unresolvable

  Language:TeX17

• roclark/sportsipy

  A free sports API written for python

  Language:Python482188