LsuvinitReference caffe implementation of LSUV initialization
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Cnnimageretrieval PytorchCNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
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Turkce Yapay Zeka KaynaklariTürkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
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CnnimageretrievalCNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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fast-image-retrievalA lightweight framework using binary hash codes and deep learning for fast image retrieval.
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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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AffnetCode and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
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Core50CORe50: a new Dataset and Benchmark for Continual Learning
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Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
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Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
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O CnnO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
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Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
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FeathercnnFeatherCNN is a high performance inference engine for convolutional neural networks.
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Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
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Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
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Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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Sign LanguageSign Language Recognition for Deaf People
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Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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Tf eeglearnA tensorflow implementation for EEGLearn
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Deep Atrous Cnn SentimentDeep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
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Caffe ToolsSome tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
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Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
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Caffe2pytorch TsnTransform the caffe model to pytorch model for Temporal Segment Network
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Image similarityPyTorch Blog Post On Image Similarity Search
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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Equivariant Transformers Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
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Ssd Models把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
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Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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DidnPytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
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Adsh Aaai2018source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
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Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
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Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
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Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
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Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
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Roadway intelVehicle make and model classification in Tensorflow by fine-tuning VGG16
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Mtcnnface detection and alignment with mtcnn
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NhyaiAI智能审查,支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能,以及各种OCR识别能力,如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能,可以访问网站体验功能。
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SketchcnnRobust freeform surface modeling from user 2d sketches.
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Feel The KernGenerating proportional fonts with deep learning
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Keras model compressionModel Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
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Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
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