finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (-82.76%)
TorchBlocksA PyTorch-based toolkit for natural language processing
Stars: ✭ 85 (-96.68%)
street2shopTripletChallenge the customer to shop task with tripletNet
Stars: ✭ 14 (-99.45%)
playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Stars: ✭ 53 (-97.93%)
GLOM-TensorFlowAn attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
Stars: ✭ 32 (-98.75%)
RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (-97.97%)
KGReasoningMulti-Hop Logical Reasoning in Knowledge Graphs
Stars: ✭ 197 (-92.32%)
MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Stars: ✭ 30 (-98.83%)
AnnA Anki neuronal AppendixUsing machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
Stars: ✭ 39 (-98.48%)
PysotSenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Stars: ✭ 3,898 (+52.03%)
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (-98.01%)
EmbeddingEmbedding模型代码和学习笔记总结
Stars: ✭ 25 (-99.02%)
DisContCode for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".
Stars: ✭ 13 (-99.49%)
triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Stars: ✭ 79 (-96.92%)
FaceRecogRealtime Facial recognition system using Siamese neural network
Stars: ✭ 47 (-98.17%)
mandrakeMandrake 🌿/👨🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding
Stars: ✭ 29 (-98.87%)
clip-italianCLIP (Contrastive Language–Image Pre-training) for Italian
Stars: ✭ 113 (-95.59%)
BERT-embeddingA simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow
Stars: ✭ 24 (-99.06%)
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (-98.48%)
CONTRIQUEOfficial implementation for "Image Quality Assessment using Contrastive Learning"
Stars: ✭ 33 (-98.71%)
info-nce-pytorchPyTorch implementation of the InfoNCE loss for self-supervised learning.
Stars: ✭ 160 (-93.76%)
RankNetLearning to Rank from Pair-wise data
Stars: ✭ 40 (-98.44%)
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Stars: ✭ 16 (-99.38%)
exembedGo Embed experiments
Stars: ✭ 27 (-98.95%)
FDCNNThe implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Stars: ✭ 54 (-97.89%)
pymdeMinimum-distortion embedding with PyTorch
Stars: ✭ 420 (-83.62%)
tf retrieval baselineA Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
Stars: ✭ 39 (-98.48%)
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (-96.33%)
OpenANEOpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080
Stars: ✭ 39 (-98.48%)
SiamFC-tfA TensorFlow implementation of the SiamFC tracker, use with your own camera and video, or integrate to your own project 实时物体追踪,封装API,可整合到自己的项目中
Stars: ✭ 22 (-99.14%)
Offline-Signature-VerificationImplemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.
Stars: ✭ 24 (-99.06%)
ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
Stars: ✭ 220 (-91.42%)
pedestrian recognitionA simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
Stars: ✭ 29 (-98.87%)
triplet-netKeras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf
Stars: ✭ 56 (-97.82%)
facenet-pytorch-glint360kA PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Stars: ✭ 186 (-92.75%)
nodebb-plugin-ns-embedEmbed media and rich content in posts: YouTube, Vimeo, Twitch and more.
Stars: ✭ 27 (-98.95%)
visual-compatibilityContext-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
Stars: ✭ 92 (-96.41%)
dialectID siamDialect identification using Siamese network
Stars: ✭ 15 (-99.41%)
MilvusAn open-source vector database for embedding similarity search and AI applications.
Stars: ✭ 9,015 (+251.6%)
triplet-loss-pytorchA generic triplet data loader for image classification problems,and a triplet loss net demo.
Stars: ✭ 70 (-97.27%)
tf-triplet-demoThis project implements triplet loss and semi-hard mining in tensorflow.
Stars: ✭ 13 (-99.49%)
open clipAn open source implementation of CLIP.
Stars: ✭ 1,534 (-40.17%)