All Projects → Rkd → Similar Projects or Alternatives

517 Open source projects that are alternatives of or similar to Rkd

Mixup Generator
An implementation of "mixup: Beyond Empirical Risk Minimization"
Stars: ✭ 250 (-2.72%)
Mutual labels:  deep-neural-networks
Hierarchical Attention Networks Pytorch
Hierarchical Attention Networks for document classification
Stars: ✭ 239 (-7%)
Mutual labels:  deep-neural-networks
TreeRep
Learning Tree structures and Tree metrics
Stars: ✭ 18 (-93%)
Mutual labels:  metric-learning
Npair loss pytorch
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Stars: ✭ 75 (-70.82%)
Mutual labels:  metric-learning
Color Accessibility Neural Network Deeplearnjs
🍃 Using a Neural Network to improve web accessibility in JavaScript.
Stars: ✭ 230 (-10.51%)
Mutual labels:  deep-neural-networks
Deep-Metric-Embedding
Papers and Codes about Deep Metric Learning/Deep Embedding
Stars: ✭ 37 (-85.6%)
Mutual labels:  metric-learning
Compressai
A PyTorch library and evaluation platform for end-to-end compression research
Stars: ✭ 246 (-4.28%)
Mutual labels:  deep-neural-networks
MinkLoc3D
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Stars: ✭ 83 (-67.7%)
Mutual labels:  metric-learning
Super Slomo
PyTorch implementation of Super SloMo by Jiang et al.
Stars: ✭ 2,714 (+956.03%)
Mutual labels:  deep-neural-networks
triplet-loss-pytorch
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Stars: ✭ 79 (-69.26%)
Mutual labels:  metric-learning
awesome-few-shot-meta-learning
awesome few shot / meta learning papers
Stars: ✭ 44 (-82.88%)
Mutual labels:  metric-learning
Awesome Gans And Deepfakes
A curated list of GAN & Deepfake papers and repositories.
Stars: ✭ 224 (-12.84%)
Mutual labels:  deep-neural-networks
lfda
Local Fisher Discriminant Analysis in R
Stars: ✭ 74 (-71.21%)
Mutual labels:  metric-learning
Tensorflow
An Open Source Machine Learning Framework for Everyone
Stars: ✭ 161,335 (+62676.26%)
Mutual labels:  deep-neural-networks
dml
R package for Distance Metric Learning
Stars: ✭ 58 (-77.43%)
Mutual labels:  metric-learning
Models
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
Stars: ✭ 248 (-3.5%)
Mutual labels:  deep-neural-networks
TCE
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (-80.16%)
Mutual labels:  metric-learning
3d Reconstruction With Deep Learning Methods
List of projects for 3d reconstruction
Stars: ✭ 244 (-5.06%)
Mutual labels:  deep-neural-networks
advrank
Adversarial Ranking Attack and Defense, ECCV, 2020.
Stars: ✭ 19 (-92.61%)
Mutual labels:  metric-learning
Appnp
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Stars: ✭ 234 (-8.95%)
Mutual labels:  deep-neural-networks
tf retrieval baseline
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
Stars: ✭ 39 (-84.82%)
Mutual labels:  metric-learning
Pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-10.12%)
Mutual labels:  deep-neural-networks
recipe1m.bootstrap.pytorch
Retrieve recipes from foodie pictures using Deep Learning and Pytorch
Stars: ✭ 42 (-83.66%)
Mutual labels:  metric-learning
Snap N Eat
Food detection and recommendation with deep learning
Stars: ✭ 229 (-10.89%)
Mutual labels:  deep-neural-networks
visual-compatibility
Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
Stars: ✭ 92 (-64.2%)
Mutual labels:  metric-learning
MinkLocMultimodal
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Stars: ✭ 65 (-74.71%)
Mutual labels:  metric-learning
Vq Vae
Minimalist implementation of VQ-VAE in Pytorch
Stars: ✭ 224 (-12.84%)
Mutual labels:  deep-neural-networks
Metric Learning Adversarial Robustness
Code for NeurIPS 2019 Paper
Stars: ✭ 44 (-82.88%)
Mutual labels:  metric-learning
SPL-ADVisE
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
Stars: ✭ 20 (-92.22%)
Mutual labels:  metric-learning
Heated Up Softmax Embedding
Project page for Heated-up Softmax Embedding
Stars: ✭ 42 (-83.66%)
Mutual labels:  metric-learning
Awesome-Few-shot
Awesome Few-shot learning
Stars: ✭ 50 (-80.54%)
Mutual labels:  metric-learning
MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Stars: ✭ 30 (-88.33%)
Mutual labels:  metric-learning
Probabilistic Face Embeddings
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
Stars: ✭ 253 (-1.56%)
Mutual labels:  deep-neural-networks
disent
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
Stars: ✭ 41 (-84.05%)
Mutual labels:  metric-learning
Mixture Density Networks For Distribution And Uncertainty Estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Stars: ✭ 249 (-3.11%)
Mutual labels:  deep-neural-networks
GeDML
Generalized Deep Metric Learning.
Stars: ✭ 30 (-88.33%)
Mutual labels:  metric-learning
Deepreg
Medical image registration using deep learning
Stars: ✭ 245 (-4.67%)
Mutual labels:  deep-neural-networks
ePillID-benchmark
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
Stars: ✭ 54 (-78.99%)
Mutual labels:  metric-learning
Computer Vision Guide
📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Stars: ✭ 244 (-5.06%)
Mutual labels:  deep-neural-networks
FastAP-metric-learning
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
Stars: ✭ 93 (-63.81%)
Mutual labels:  metric-learning
Generative Inpainting Pytorch
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Stars: ✭ 242 (-5.84%)
Mutual labels:  deep-neural-networks
Deep Learning In Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Stars: ✭ 3,104 (+1107.78%)
Mutual labels:  deep-neural-networks
Dlwpt Code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Stars: ✭ 3,054 (+1088.33%)
Mutual labels:  deep-neural-networks
S-WMD
Code for Supervised Word Mover's Distance (SWMD)
Stars: ✭ 90 (-64.98%)
Mutual labels:  metric-learning
Lcnn
LCNN: End-to-End Wireframe Parsing
Stars: ✭ 234 (-8.95%)
Mutual labels:  deep-neural-networks
SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Stars: ✭ 81 (-68.48%)
Mutual labels:  metric-learning
Nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+1316.34%)
Mutual labels:  deep-neural-networks
CVPR2020 PADS
(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.
Stars: ✭ 57 (-77.82%)
Mutual labels:  metric-learning
Darkon
Toolkit to Hack Your Deep Learning Models
Stars: ✭ 231 (-10.12%)
Mutual labels:  deep-neural-networks
MetricLearning-mnist-pytorch
Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.
Stars: ✭ 19 (-92.61%)
Mutual labels:  metric-learning
Octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
Stars: ✭ 229 (-10.89%)
Mutual labels:  deep-neural-networks
GPQ
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Stars: ✭ 60 (-76.65%)
Mutual labels:  metric-learning
Deep Unet For Satellite Image Segmentation
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Stars: ✭ 227 (-11.67%)
Mutual labels:  deep-neural-networks
scLearn
scLearn:Learning for single cell assignment
Stars: ✭ 26 (-89.88%)
Mutual labels:  metric-learning
simple-cnaps
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
Stars: ✭ 88 (-65.76%)
Mutual labels:  metric-learning
Chaidnn
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
Stars: ✭ 258 (+0.39%)
Mutual labels:  deep-neural-networks
symmetrical-synthesis
Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)
Stars: ✭ 67 (-73.93%)
Mutual labels:  metric-learning
finetuner
Finetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (+71.98%)
Mutual labels:  metric-learning
LearningToCompare-Tensorflow
Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.
Stars: ✭ 17 (-93.39%)
Mutual labels:  metric-learning
proxy-synthesis
Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
Stars: ✭ 30 (-88.33%)
Mutual labels:  metric-learning
1-60 of 517 similar projects