261 Open source projects that are alternatives of or similar to Iva

[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。

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 This reference implementation has been superseded by other versions below.

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

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

Machine Learning (EE 5184) in NTU

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

和（he for objective-c） —— “信息熵减机系统”

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

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

Experiments for understanding disentanglement in VAE latent representations

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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

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

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

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

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

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

TCyb 2018: Graph learning for multiview clustering

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

PyTorch implementation of the CortexNet predictive model

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

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

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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

Pytorch implementation of β-VAE

Unsupervised Feature Learning via Non-parametric Instance Discrimination

SelFlow: Self-Supervised Learning of Optical Flow

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Implementing machine learning algorithms from scratch.

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

100-Days-Of-ML-Code中文版

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

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Unsupervised Speech Decomposition Via Triple Information Bottleneck

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

Learning to Cluster. A deep clustering strategy.

[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

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

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

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

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Keras implementation of Representation Learning with Contrastive Predictive Coding

BERT, LDA, and TFIDF based keyword extraction in Python

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

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

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

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

Python implementation of bag-of-concepts

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

Problem Agnostic Speech Encoder