LkvolearnerLearning Depth from Monocular Videos using Direct Methods, CVPR 2018
Stars: ✭ 210 (-16%)
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-46%)
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Stars: ✭ 180 (-28%)
AndOfficial Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
Stars: ✭ 133 (-46.8%)
Map Based Visual LocalizationA general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
Stars: ✭ 229 (-8.4%)
E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Stars: ✭ 129 (-48.4%)
OpencogA framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
Stars: ✭ 2,132 (+752.8%)
Kapturekapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
Stars: ✭ 128 (-48.8%)
Revisiting deep metric learning pytorch(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Stars: ✭ 172 (-31.2%)
GonGradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Stars: ✭ 126 (-49.6%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+910.4%)
CalcConvolutional Autoencoder for Loop Closure
Stars: ✭ 119 (-52.4%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-19.2%)
HypertagKnowledge Management for Humans using Machine Learning & Tags
Stars: ✭ 116 (-53.6%)
MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Stars: ✭ 112 (-55.2%)
Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
Stars: ✭ 225 (-10%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (-35.6%)
SimclrA PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 198 (-20.8%)
Ml LibAn extensive machine learning library, made from scratch (Python).
Stars: ✭ 102 (-59.2%)
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-36.4%)
DdflowDDFlow: Learning Optical Flow with Unlabeled Data Distillation
Stars: ✭ 101 (-59.6%)
LadderLadder network is a deep learning algorithm that combines supervised and unsupervised learning.
Stars: ✭ 242 (-3.2%)
Delf enhancedWrapper of DELF Tensorflow Model
Stars: ✭ 98 (-60.8%)
CsmCode release for "Canonical Surface Mapping via Geometric Cycle Consistency"
Stars: ✭ 156 (-37.6%)
Text SummarizerPython Framework for Extractive Text Summarization
Stars: ✭ 96 (-61.6%)
Semantic EmbeddingsHierarchy-based Image Embeddings for Semantic Image Retrieval
Stars: ✭ 196 (-21.6%)
Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-64.4%)
Novelty DetectionLatent space autoregression for novelty detection.
Stars: ✭ 152 (-39.2%)
PysadStreaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Stars: ✭ 87 (-65.2%)
SpectralclusterPython re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
Stars: ✭ 220 (-12%)
GrounderImplementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow
Stars: ✭ 83 (-66.8%)
OpenselfsupSelf-Supervised Learning Toolbox and Benchmark
Stars: ✭ 1,239 (+395.6%)
FleetxPaddle Distributed Training Extended. 飞桨分布式训练扩展包
Stars: ✭ 196 (-21.6%)
StylisticpoetryCodes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)
Stars: ✭ 148 (-40.8%)
Graph TransformerTransformer for Graph Classification (Pytorch and Tensorflow)
Stars: ✭ 191 (-23.6%)
Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
Stars: ✭ 139 (-44.4%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-70%)
Unsupervised Video[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
Stars: ✭ 233 (-6.8%)
KarateclubKarate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Stars: ✭ 1,190 (+376%)
Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
Stars: ✭ 145 (-42%)
AffnetCode and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Stars: ✭ 191 (-23.6%)
Adsh Aaai2018source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Stars: ✭ 67 (-73.2%)
LiresolrPutting LIRE into Solr - an ongoing project
Stars: ✭ 140 (-44%)
Neuralhmmcode for unsupervised learning Neural Hidden Markov Models paper
Stars: ✭ 64 (-74.4%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-14.8%)
Deepmappingcode/webpage for the DeepMapping project
Stars: ✭ 140 (-44%)
Delf PytorchPyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Stars: ✭ 245 (-2%)
UnflowUnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Stars: ✭ 239 (-4.4%)
Person reid baseline pytorchPytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Stars: ✭ 2,963 (+1085.2%)
Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Stars: ✭ 210 (-16%)