yiqings

yiqings's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

  Language:JavaScript123k1.5k016.4k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python68.1k2791.7k8.3k

• 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:Python30k1461.3k2.4k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook16.1k1154051.5k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook14.9k845011.6k

• opendatalab/PDF-Extract-Kit

  A Comprehensive Toolkit for High-Quality PDF Content Extraction

  Language:Python7.3k52163504

• InternLM/MindSearch

  🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

  Language:JavaScript6.3k45201632

• zhayujie/bot-on-anything

  A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).

  Language:Python4.1k36384924

• ahmetbersoz/chatgpt-prompts-for-academic-writing

  This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

  3.7k432322

• Dicklesworthstone/llm_aided_ocr

  Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

  Language:Python2.6k2119177

• dvlab-research/LISA

  Project Page for "LISA: Reasoning Segmentation via Large Language Model"

  Language:Python2.1k12176148

• eli64s/readme-ai

  README file generator, powered by AI.

  Language:Python1.9k1668194

• evolutionaryscale/esm

  Language:Python1.8k34154209

• Peldom/papers_for_protein_design_using_DL

  List of papers about Proteins Design using Deep Learning

  1.6k1242193

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.6k3614144

• chaidiscovery/chai-lab

  Chai-1, SOTA model for biomolecular structure prediction

  Language:Python1.6k23188206

• evo-design/evo

  Biological foundation modeling from molecular to genome scale

  Language:Jupyter Notebook1.4k2672164

• bytedance/pasa

  PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.

  Language:Python1.1k91378

• generatebio/chroma

  A generative model for programmable protein design

  Language:Python72785898

• SuperMedIntel/Medical-SAM2

  Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

  Language:Python67069299

• uni-medical/SAM-Med3D

  SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

  Language:Python63599982

• AutoSurveys/AutoSurvey

  Language:Python35942834

• PathologyFoundation/plip

  Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

  Language:Python31872530

• BAAI-DCAI/SegVol

  The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".

  Language:Python30543027

• MrGiovanni/AbdomenAtlas

  [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)

  Language:Python25771016

• MIRACLE-Center/CTPelvic1K

  Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

  Language:Python14542036

• amyxlu/cheap-proteins

  Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. http://bit.ly/cheap-proteins

  Language:Python115488

• YzzLiu/FracSegNet

  A deep-learning method for segmenting fractures from 3D CT images.

  Language:Python231114

• hding2455/CaRTS

  Official Released code for Challenge SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions

  Language:Python18323

• TommyCheng023/Gemini_Explorer

  Language:Python2101