zhangboshen

zhangboshen's Stars

• facebookresearch/llama

  Inference code for LLaMA models

  Language:Python50.9k4998728.7k

• fxsjy/jieba

  结巴中文分词

  Language:Python33.2k1.3k8516.7k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k4284.2k6.4k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python19.5k1601.5k2.1k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python14.9k1392.1k2.4k

• 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 Notebook14.9k1133851.4k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.4k68105667

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6k541.7k756

• QwenLM/Qwen-VL

  The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

  Language:Python4.9k49441372

• MaartenGr/KeyBERT

  Minimal keyword extraction with BERT

  Language:Python3.5k32201344

• sail-sg/EditAnything

  Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

  Language:Python3.3k3957188

• magicleap/SuperGluePretrainedNetwork

  SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

  Language:Python3.3k56140665

• towhee-io/towhee

  Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

  Language:Python3.2k30664246

• scikit-learn-contrib/hdbscan

  A high performance implementation of HDBSCAN clustering.

  Language:Jupyter Notebook2.8k56510497

• OFA-Sys/OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  Language:Python2.4k20363247

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.3k1217202

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.1k1958135

• gligen/GLIGEN

  Open-Set Grounded Text-to-Image Generation

  Language:Python2k3787147

• willard-yuan/awesome-cbir-papers

  📝Awesome and classical image retrieval papers

  1.7k9710293

• lyuchenyang/Macaw-LLM

  Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

  Language:Python1.5k3236122

• thu-ml/prolificdreamer

  ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

  Language:Python1.5k1102544

• thu-ml/unidiffuser

  Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

  Language:Python1.4k173286

• yzhuoning/Awesome-CLIP

  Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

  1.1k191255

• showlab/Image2Paragraph

  [A toolbox for fun.] Transform Image into Unique Paragraph with ChatGPT, BLIP2, OFA, GRIT, Segment Anything, ControlNet.

  Language:Python787112853

• studio-ousia/luke

  LUKE -- Language Understanding with Knowledge-based Embeddings

  Language:Jupyter Notebook70425137102

• BaptisteBlouin/EventExtractionPapers

  A list of NLP resources focused on event extraction task

  56823196

• showlab/VLog

  Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.

  Language:Python52861126

• luogen1996/LaVIN

  [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"

  Language:Python50264136

• JindongGu/Awesome-Prompting-on-Vision-Language-Model

  This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

  3553024

• JialianW/GRiT

  GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)

  Language:Python29522130