Reimplementation of the paper "Attention, Learn to Solve Routing Problems!" in jax/flax.

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Gabriela Surita
Stochastic coffee-code converter.
Gabriela Surita
Custom studies about block sparse attention.

Block Sparse Attention 研究总结 本人近半年来对Block Sparse Attention(块稀疏注意力)的研究总结(持续更新中)。按时间顺序,主要分为如下三部分: PyTorch 自定义 CUDA 算子——以矩阵乘法为例 基于 Triton 的 Block Sparse A

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The official implementation of paper Siamese Transformer Pyramid Networks for Real-Time UAV Tracking, accepted by WACV22

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simple demo codes for Learning to Teach with Dynamic Loss Functions

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【Arxiv】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

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Another pytorch implementation of FCN (Fully Convolutional Networks)

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Scripts used to make and evaluate OpenAlex's concept tagging model

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Unofficial implementation of "Coordinate Attention for Efficient Mobile Network Design"

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SoK: Vehicle Orientation Representations for Deep Rotation Estimation

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A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval

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This code uses generative adversarial networks to generate diverse task allocation plans for Multi-agent teams.

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Mahadi-Now - This Is Pakistani Just Now Login Tools

PAKISTANI JUST NOW LOGIN TOOLS Install apt update apt upgrade apt install python

MAHADI HASAN AFRIDI 19 Apr 06, 2022
Official implementation of the paper "AAVAE: Augmentation-AugmentedVariational Autoencoders"

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Grid AI Labs 48 Dec 12, 2022
[arXiv'22] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

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[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)

CAT arXiv Pytorch implementation of our method for compressing image-to-image models. Teachers Do More Than Teach: Compressing Image-to-Image Models Q

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ROMP: Monocular, One-stage, Regression of Multiple 3D People, ICCV21

Monocular, One-stage, Regression of Multiple 3D People ROMP, accepted by ICCV 2021, is a concise one-stage network for multi-person 3D mesh recovery f

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TVNet: Temporal Voting Network for Action Localization

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🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

English | 简体中文 | 繁體中文 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained mo

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