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👍Crowdsourcing Dataset
GLAD Implementation
The implementation codes of the GLAD model from "Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise" whitehill✨My Papers
This is a list of my published & working papers.Starred repositories
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, m…
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Industry-strength Computer Vision workflows with Keras
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
The PatchCamelyon (PCam) deep learning classification benchmark.
🖼The python implementation to make superpixels by slic.
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
Superpixel segmentation using SLIC with Python.
Local Binary Patterns implementation using Python3 and OpenCV
[CVPRW'22] Unsupervised Salient Object Detection With Spectral Cluster Voting
The source code of CVPR 2019 paper "Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery"
Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
Crowdsourced datasets including the individual crowd votes.
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
Code for MOVE: Unsupervised Movable Object Segmentation and Detection; NeurIPS 2022
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
Implementation of LPLR algorithm for matrix compression
Optimal integration of labels for Cal500 Dataset
Estimating true labels from multiple workers in crowdsourcing tasks
The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper
[ICLR'23] MCAL: Minimum Cost Human-Machine Active Labeling