chinaphilip

chinaphilip's Stars

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python31k3913.5k7.5k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k3728.4k9.5k

• opendatalab/MinerU

  A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

  Language:Python23.3k1228171.7k

• Skyvern-AI/skyvern

  Automate browser-based workflows with LLMs and Computer Vision

  Language:Python11.3k71140792

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook10.4k127181.1k

• bentoml/OpenLLM

  Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.

  Language:Python10.4k56270657

• jina-ai/reader

  Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

  Language:TypeScript7.4k47131577

• OpenGVLab/InternVL

  [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

  Language:Python6.7k57720521

• Ucas-HaoranWei/GOT-OCR2.0

  Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

  Language:Python6.5k54218570

• THUDM/CogVLM

  a state-of-the-art-level open visual language model | 多模态预训练模型

  Language:Python6.3k68433424

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML4.5k238525

• wainshine/Chinese-Names-Corpus

  中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

  4k105281k

• InternLM/InternLM-XComposer

  InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

  Language:Python2.7k44406163

• automeris-io/WebPlotDigitizer

  Computer vision assisted tool to extract numerical data from plot images.

  Language:JavaScript2.7k73274371

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.1k1883201

• Ucas-HaoranWei/Vary

  [ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.

  Language:Python1.8k54136161

• noamgat/lm-format-enforcer

  Enforce the output format (JSON Schema, Regex etc) of a language model

  Language:Python1.7k1311672

• google-research/pix2seq

  Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

  Language:Jupyter Notebook887194971

• quqxui/Awesome-LLM4IE-Papers

  Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

  84212047

• opendatalab/DocLayout-YOLO

  DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

  Language:Python71846254

• google-research/pix2struct

  Language:Python617172454

• teacherpeterpan/self-correction-llm-papers

  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

  47515127

• hitz-zentroa/GoLLIE

  Guideline following Large Language Model for Information Extraction

  Language:Python32681826

• opendatalab/UniMERNet

  UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

  Language:Python24472822

• LingyvKong/OneChart

  [ACM'MM 2024 Oral] Official code for "OneChart: Purify the Chart Structural Extraction via One Auxiliary Token"

  Language:Python21112617

• shannanyinxiang/SPTS

  Official implementation of SPTS: Single-Point Text Spotting (ACM MM 2022 Oral)

  Language:Python13871513

• 1694439208/GOT-OCR-Inference

  研究GOT-OCR-项目落地加速，不限语言

  Language:Python562114

• Ucas-HaoranWei/Vary-family

  56530

• alan-tsang/overleaf-latex-chinese-english-general-template

  一个overleaf latex中英文通用模板，元素丰富，适合latex入门；An Overleaf LaTeX Chinese and English universal template, rich in elements, suitable for getting started with LaTeX;

  Language:TeX44123

• shannanyinxiang/UPOCR

  Official implementation of UPOCR: Towards unified pixel-level OCR interface (ICML 2024)

  Language:Python43244