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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Code and assets to generate the documentation of imgaug
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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收集“导师评价”相关资源,及原“导师评价网”存档数据
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.
Stable Diffusion web UI
从0到1构建一个MiniLLM (pretrain+sft+dpo实践中)
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Multivariate Time Series Transformer, public version
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Effortless data labeling with AI support from Segment Anything and other awesome models.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A scikit-learn-compatible module for comparing imputation methods.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
Missing data visualization module for Python.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2