RobertRWu
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For optimization algorithm research and development.
Deformable Convolutional Networks v2 with Pytorch
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
This is an vault template for researchers using obsidian.
RAFConv: Innovating Spatital Attention and Standard Convolutional Operation
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
爬取b站番剧的评分等信息，学习爬虫的案例，仅供学习参考，不可商用。
“Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion” https://arxiv.org/pdf/2204.11239v1.pdf
Extended LaTeX template for CVPR/ICCV papers
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Neighborhood Attention Extension. Bringing attention to a neighborhood near you!
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Learning and Building Convolutional Neural Networks using PyTorch
Implementation of the Swin Transformer in PyTorch.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
End-to-End Object Detection with Transformers
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
