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37 search results found

Discogan Pytorch ⭐ 928

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Graph2vec ⭐ 791

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

Machine Learning Algorithms From Scratch ⭐ 312

Implementing machine learning algorithms from scratch.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Unsupervised_detection ⭐ 221

An Unsupervised Learning Framework for Moving Object Detection From Videos

Recursive Cascaded Networks ⭐ 172

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Tensorflowprojects ⭐ 164

Deep learning using tensorflow

E3d_lstm ⭐ 158

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Lr Gan.pytorch ⭐ 145

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Factorvae ⭐ 144

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Oneshottranslation ⭐ 126

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Unsupervised_anomaly_detection_brain_mri ⭐ 123

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Awesome Unsupervised Person Re Identification ⭐ 121

Awesome-Unsupervised-Person-Re-identification

Diff2vec ⭐ 116

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Labelpropagation ⭐ 101

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Fast and explainable clustering in Python

Student Teacher Anomaly Detection ⭐ 83

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Discovery ⭐ 59

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Dcase2020_task2_baseline ⭐ 37

DCASE2020 Challenge Task 2 baseline system

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Unopticalflow ⭐ 28

Occlusion Aware Unsupervised Learning of Optical Flow From Video

Ijcai2018_ssdh ⭐ 27

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

Al Fk Self Supervision ⭐ 25

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Guidednet ⭐ 25

Caffe implementation for "Guided Optical Flow Learning"

Deep Unsupervised Domain Adaptation ⭐ 20

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Rl_singing_voice ⭐ 18

Unsupervised Representation Learning for Singing Voice Separation

Music Recommendation System ⭐ 14

A simple Music Recommendation System

Deeplearning Tutorials ⭐ 13

This is a deep learning tutorial which is summarized to help someone who want to join to deep learning group

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .

머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트

Votermla ⭐ 10

Machine Learning Algorithms used to predict which candidate a county voted for based on 9 distinct attributes such as population size and density

K Means Clustering ⭐ 8

A Java program to cluster a dataset in CSV format using k-means clustering

Machine Learning Algorithm ⭐ 7

Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.

Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://github.com/facebookresearch/UnsupervisedQA and https://github.com/deepset-ai/haystack

TSMC course materials for unsupervised learning

Machine Learning Course ⭐ 5

Machine Learning and Deep Learning Course

Civic_issue_dataset ⭐ 5

Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues

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