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Research Associate
- Kunming, China
Stars
Learning to ground explanations of affect for visual art.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Awesome paper list with code about generative adversarial nets
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
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
Logging MXNet data for visualization in TensorBoard.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
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Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
A technical report on convolution arithmetic in the context of deep learning