rqiao

rqiao's Stars

• rqiao/zsl_noise_suppression

  Less is more: zero-shot learning from online textual documents with noise suppression

  Language:Matlab61

• LC1332/Luotuo-QA

  骆驼QA，中文大语言阅读理解模型。

  Language:Jupyter Notebook712

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.4k5.2k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.1k480

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.2k5.4k

• FudanNLPLAB/CBook-150K

  中文图书语料MD5链接

  Language:Python20923

• FMInference/FlexiGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.1k540

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k160

• TencentYoutuResearch/SceneSegmentation-SCRL

  Code for CVPR 2022 paper "Scene Consistency Representation Learning for Video Scene Segmentation"

  Language:Python8721

• TencentYoutuResearch/VisualRecognition-NomMer

  Code for CVPR 2022 paper "NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition"

  Language:Python2510

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  5.9k844

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7.8k

• jgraph/drawio

  draw.io is a JavaScript, client-side editor for general diagramming.

  Language:JavaScript40.7k7.6k

• koomri/text-segmentation

  Implementation of the paper: Text Segmentation as a Supervised Learning Task

  Language:Python24857

• xingyizhou/UniDet

  Object detection on multiple datasets with an automatically learned unified label space.

  Language:Python48958

• NVlabs/DeepInversion

  Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

  Language:Python48377

• ownthink/Jiagu

  Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

  Language:Python3.3k611

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k658

• lonePatient/Bert-Multi-Label-Text-Classification

  This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

  Language:Python860207

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.3k

• owphoo/FocalLoss

  focal loss caffe version

  Language:C++3

• alexgkendall/SegNet-Tutorial

  Files for a tutorial to train SegNet for road scenes using the CamVid dataset

  Language:Python851518

• BryanPlummer/cite

  Implementation for our paper "Conditional Image-Text Embedding Networks"

  Language:Python3888

• 0x09/resdet

  Detect source resolution of upscaled images

  Language:C23510

• google/python-fire

  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

  Language:Python26.9k1.4k

• udaypk/FastAnnotationSingleObject

  Fast image annotation tool for images containing only one object per image

  Language:Matlab112

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python22.5k6.3k

• Adnan1011/NR-IQA-CNN

  A no reference image quality assessment CNN

  Language:C++13431

• hkchengrex/Weighted_Softmax_Loss

  Weighted Softmax Loss Layer for Caffe

  Language:C++236

• ArcherFMY/Paper_Reading_List

  Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

  711172