261 Open source projects that are alternatives of or similar to Lir For Unsupervised Ir

Problem Agnostic Speech Encoder

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

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

Experiments for understanding disentanglement in VAE latent representations

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

和（he for objective-c） —— “信息熵减机系统”

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

📈 Regression and Classification with UC Davis student quiz data and exam data

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

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

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

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

an open-source implementation of sequence-to-sequence based speech processing engine

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Codebase for the Summary Loop paper at ACL2020

Self-Supervised depth kalilia

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

[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

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

IVA: Independent Vector Analysis implementation

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

PyTorch implementation of the CortexNet predictive model

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

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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

Pytorch implementation of β-VAE

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

SelFlow: Self-Supervised Learning of Optical Flow

PHP-ML - Machine Learning library for PHP

Implementing machine learning algorithms from scratch.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

100-Days-Of-ML-Code中文版

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Learning to Cluster. A deep clustering strategy.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Unsupervised Learning for Image Registration

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Python implementation of bag-of-concepts

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx