402 Open source projects that are alternatives of or similar to Paysage

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

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

speech to text with self-supervised learning based on wav2vec 2.0 framework

Contrastive Predictive Coding for Automatic Speaker Verification

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

Generative Adversarial Networks (GANs) resources sorted by citations

Vanilla 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.

Deep-learning approaches to object recognition from 3D data

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

CPU/GPU/TPU implementation of the Fréchet Inception Distance

How to do Unsupervised Clustering with Keras

Unsupervised Controllable Text Generation (Applied to text Formalization)

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

Awesome Graph Self-Supervised Learning

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Find nodes in hierarchical clustering that are statistically significant

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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

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

Deep learning using tensorflow

code for unsupervised learning Neural Hidden Markov Models paper

A Compositional Object-Based Approach to Learning Physical Dynamics

TriangleGAN, ACM MM 2019.

VIP cheatsheets for Stanford's CS 229 Machine Learning

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Model for learning document embeddings along with their uncertainties

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Explore high-dimensional datasets and how your algo handles specific regions.

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

[NeurIPS 2019] Spherical Text Embedding

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

code/webpage for the DeepMapping project

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A comprehensive list of awesome contrastive self-supervised learning papers.

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

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

An extensive machine learning library, made from scratch (Python).

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

IVA: Independent Vector Analysis implementation

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

TensorFlow implementation for "Guided Optical Flow Learning"