sunxingxingtf's repositories
Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
chinese-llm-benchmark
中文大模型能力评测榜单：覆盖百度文心一言、chatgpt、阿里通义千问、讯飞星火、belle / chatglm6b 等开源大模型，多维度能力评测。不仅提供能力评分排行榜，也提供所有模型的原始输出结果！
CIRPLANT
Official implementation of the Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) | ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
cityscapesScripts
README and scripts for the Cityscapes Dataset
clip-image-search
A simple image search engine using CLIP feature.
cocoapi
COCO API - Dataset @ http://cocodataset.org/
coordtransform
提供了百度坐标（BD09）、国测局坐标（火星坐标，GCJ02）、和WGS84坐标系之间的转换
image-retrieval-project
Exploring Image Retrieval Techniques: Baseline vs. Vision Transformer (ViT)
image-retrieval-transformers
(Unofficial) PyTorch implementation of Training Vision Transformers for Image Retrieval(El-Nouby, Alaaeldin, et al. 2021).
image-retrieval-using-pretrained-ViT
Apply pre-trained Vision transformer to retrieve images
image-retrieval-using-transformers
This repository contains code used to perform image retrieval using transformers. It is a demonstration of how using vision transformers, metric learning, and a novel loss based on differential cross-entropy can lead to better retrieval than classical CNN-based methods.
ImageRetrieval
A simple image retrieval web by CNNs and Transformers
ImageRetrieval_DICTH_KBS2023
"Deep Internally Connected Transformer Hashing for Image Retrieval[J]" in Knowledge-based systems，2023, 279, 110953
jina
☁️ Build multimodal AI applications with cloud-native stack
L7
🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine
MSD
mobile phone screen surface defect segmentation (detection) dataset.
PaddleTS
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonPark
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
RerankingTransformer2
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
UBC-dataset
Urban Building Classification dataset