hnqin-xdu

ACCV_TinyGAN

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

aic2coco

convert ai city challenge dataset to COCO format

ALDA

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

algo

数据结构和算法必知必会的50个代码实现

Anomaly-Detection-PatchSVDD-PyTorch

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

hnqin-xdu/Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

hnqin-xdu/addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

hnqin-xdu/ALDA

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

hnqin-xdu/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

hnqin-xdu/BCNet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

hnqin-xdu/BLTSC

This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"

hnqin-xdu/CLAN

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

hnqin-xdu/ColossalAI

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

hnqin-xdu/CVPR-2021-Papers

hnqin-xdu/CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

hnqin-xdu/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

hnqin-xdu/domain-adaptation-capls

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

hnqin-xdu/dvit_repo

hnqin-xdu/External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hnqin-xdu/FcaNet

FcaNet: Frequency Channel Attention Networks

hnqin-xdu/few-shot-object-detection

Implementations of few-shot object detection benchmarks

hnqin-xdu/IEEE_TGRS_GCN

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

hnqin-xdu/image-to-recipe-transformers

Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

hnqin-xdu/MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

hnqin-xdu/nteract

📘 The interactive computing suite for you! ✨

hnqin-xdu/OWOD

(CVPR 2021 Oral) Open World Object Detection

hnqin-xdu/PiCIE

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

hnqin-xdu/prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

hnqin-xdu/PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

hnqin-xdu/SG-Net

hnqin-xdu/tensorflow

An Open Source Machine Learning Framework for Everyone

hnqin-xdu/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

hnqin-xdu/up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

hnqin-xdu/vision_transformer

hnqin-xdu/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch