jong-inn

jong-inn's Stars

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python77.2k62409.2k

• unslothai/unsloth

  Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥

  Language:Python32.9k2071.4k2.2k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python23.4k1905452.3k

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.7k1141.3k26.1k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.3k84250835

• pymupdf/PyMuPDF

  PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

  Language:Python6.6k662.2k571

• run-llama/rags

  Build ChatGPT over your data, all with natural language

  Language:Python6.4k5840657

• ept/ddia-references

  Literature references for “Designing Data-Intensive Applications”

  6.2k24410816

• guardrails-ai/guardrails

  Adding guardrails to large language models.

  Language:Python4.5k26356354

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.4k13029306

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.3k5619503

• h2oai/h2o-llmstudio

  H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

  Language:Python4.2k80409438

• maxcountryman/flask-login

  Flask user session management.

  Language:Python3.6k71419807

• Zjh-819/LLMDataHub

  A quick guide (especially) for trending instruction finetuning datasets

  2.9k503190

• jonbarron/website

  Language:HTML2.9k16162.3k

• xlang-ai/instructor-embedding

  [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

  Language:Python1.9k18111144

• tatsu-lab/alpaca_eval

  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

  Language:Jupyter Notebook1.7k8160258

• ydataai/ydata-synthetic

  Synthetic data generators for tabular and time-series data

  Language:Jupyter Notebook1.5k31104249

• corydolphin/flask-cors

  Cross Origin Resource Sharing ( CORS ) support for Flask

  Language:Python9059168143

• pbelcak/UltraFastBERT

  The repository for the code of the UltraFastBERT paper

  Language:Python517151331

• imelnyk/ArxivPapers

  Code behind Arxiv Papers

  Language:Python5068960

• mmistakes/mm-github-pages-starter

  Minimal Mistakes GitHub Pages site starter.

  Language:Ruby4141101k

• robustness-gym/summvis

  SummVis is an interactive visualization tool for text summarization.

  Language:Python25212929

• xianjianlf2/MindGeniusAI

  Auto generate MindMap with ChatGPT

  Language:Vue21971147

• alphanome-ai/sec-parser

  Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.

  Language:Python18984255

• gpt4life/alpagasus

  Unofficial implementation of AlpaGasus

  Language:Python90387

• vzaccaria/pandoc-mm

  Generate a mindmap from an org-mode file. Complete with annotations.

  Language:Haskell82795

• ceos-seo/data_cube_ui

  Data Cube user interface allowing users to interact with the Data Cube and run sample analysis cases

  Language:HTML47103551

• minnesotanlp/cobbler

  Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"

  Language:Jupyter Notebook18201

• minnesotanlp/reward-system

  Code for Koo and Martin et al's in2writing paper on "Decoding the End-to-end Writing Trajectory in Scholarly Manuscripts"

  Language:JavaScript6240