SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (+40.98%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+1494.17%)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (+411.28%)
M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
Stars: ✭ 119 (-77.63%)
rl singing voiceUnsupervised Representation Learning for Singing Voice Separation
Stars: ✭ 18 (-96.62%)
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
Stars: ✭ 18 (-96.62%)
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: ✭ 67 (-87.41%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (-83.83%)
BagofconceptsPython implementation of bag-of-concepts
Stars: ✭ 18 (-96.62%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (-84.77%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (-21.43%)
MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Stars: ✭ 112 (-78.95%)
Autoregressive Predictive CodingAutoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Stars: ✭ 138 (-74.06%)
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
Stars: ✭ 34 (-93.61%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-59.96%)
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Stars: ✭ 398 (-25.19%)
SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 65 (-87.78%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Stars: ✭ 293 (-44.92%)
amrOfficial adversarial mixup resynthesis repository
Stars: ✭ 31 (-94.17%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (-89.47%)
Recycle GanUnsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)
Stars: ✭ 367 (-31.02%)
MsdnetMulti-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Stars: ✭ 443 (-16.73%)
DeraindropAttentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
Stars: ✭ 365 (-31.39%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (-33.27%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (-7.71%)
Corex topicHierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Stars: ✭ 439 (-17.48%)
CcCompetitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Stars: ✭ 348 (-34.59%)
PaseProblem Agnostic Speech Encoder
Stars: ✭ 348 (-34.59%)
Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Stars: ✭ 434 (-18.42%)
Densenet CaffeDenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
Stars: ✭ 350 (-34.21%)
Pytorch CortexnetPyTorch implementation of the CortexNet predictive model
Stars: ✭ 349 (-34.4%)
Ml5 LibraryFriendly machine learning for the web! 🤖
Stars: ✭ 5,280 (+892.48%)
AutovcAutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Stars: ✭ 485 (-8.83%)
Class Balanced LossClass-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Stars: ✭ 433 (-18.61%)
Mmt[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Stars: ✭ 345 (-35.15%)
Lifting From The Deep ReleaseImplementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Stars: ✭ 425 (-20.11%)
Siamese Rpn PytorchThis is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.
Stars: ✭ 345 (-35.15%)
GatneSource code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Stars: ✭ 343 (-35.53%)
LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Stars: ✭ 474 (-10.9%)
S3prlSelf-Supervised Speech Pre-training and Representation Learning Toolkit.
Stars: ✭ 422 (-20.68%)
Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (-36.47%)
Paragraph Vectors📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Stars: ✭ 337 (-36.65%)
MlxtendA library of extension and helper modules for Python's data analysis and machine learning libraries.
Stars: ✭ 3,729 (+600.94%)
RexnetOfficial Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Stars: ✭ 319 (-40.04%)
FishnetImplementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Stars: ✭ 533 (+0.19%)
Fots.pytorchFOTS Pytorch Implementation
Stars: ✭ 513 (-3.57%)
Sc Sfmlearner ReleaseUnsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
Stars: ✭ 468 (-12.03%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: ✭ 416 (-21.8%)
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Stars: ✭ 333 (-37.41%)
PlanenetPlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Stars: ✭ 334 (-37.22%)