huan820

huan820's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.9k4461315.6k

• xmu-xiaoma666/External-Attention-pytorch

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

  Language:Python11.3k104801.9k

• MenghaoGuo/Awesome-Vision-Attentions

  Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

  Language:Python2.7k3110409

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.5k48164294

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2k1950399

• luuuyi/CBAM.PyTorch

  Non-official implement of Paper：CBAM: Convolutional Block Attention Module

  Language:Python1.3k1214286

• kayzhu/LSHash

  A fast Python implementation of locality sensitive hashing.

  Language:Python6602627158

• swuxyj/DeepHash-pytorch

  Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

  Language:Python4881045117

• walsvid/Pixel2MeshPlusPlus

  Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

  Language:Python354133056

• mattilyra/LSH

  Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

  Language:Python27810079

• brandonrobertz/SparseLSH

  A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

  Language:Python14110527

• kanezaki/rotationnet

  Language:Python13181525

• RBirkeland/MVCNN-PyTorch

  Language:Python10041734

• ajhamdi/MVTN

  pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

  Language:Python975158

• weixmath/view-GCN

  Pytorch code for view-GCN (CVPR2020)

  Language:Python7342117

• yinhaoxs/ImageRetrieval-LSH

  离线构建大规模图像特征索引库，实现在线相似图片精准查询

  Language:Python721222

• daniilidis-group/emvn

  Demo source code for the paper "Equivariant Multi-View Networks".

  Language:Python561328

• Yang7879/AttSets

  🔥AttSets in Tensorflow (IJCV 2019)

  Language:Python556520

• sijia3/3D-shape-retrieval

  针对三维模型检索，并采用卷积神经网络，提出两个算法：1.采用体素化深层特征进行训练。2. 采用虚拟摄像机抓取多角度视图特征进行训练。

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• guofei9987/pyLSHash

  Locality Sensitive Hashing, fuzzy-hash， min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度

  Language:Python52325

• iMoonLab/PVRNet

  PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)

  Language:Python454107

• popcornell/keras-triplet-center-loss

  Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

  Language:Python446412

• TYTaO/CBIR-demos

  本项目基于ImageNet数据集预训练的VGG16和ResNet34网络模型，微调以提取遥感图像特征。我们尝试了多种特征聚合方法，通过使用PCA降维技术和扩展查询技术来优化特征存储、向量计算和特征检索效果。此外，我们还采用局部敏感哈希算法（LSH）实现了大规模遥感图像检索。该算法在UCMD数据集上进行了性能验证。

  Language:Jupyter Notebook24112

• wangchu1/dscnn

  Language:MATLAB12225

• caiyu97/MVCNN

  Multi-view dual attention network for 3D object recognition (Neural Computing and Applications, 2021）

  Language:Python11103

• JiehongLin/CorrReg

  Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"

  Language:Lua9103

• trymtrim/MultimediaRetrieval

  3D model retrieval system (similar to Google Image Search, but for 3D models).

  Language:C++620

• sudhir5595/Mesh_Neural_Network

  SOC project

  Language:Jupyter Notebook4202

• tparisotto/more_mvcnn

  Language:Python4403

• LONG-9621/3DCNN

  Language:Lua2300