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

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

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

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

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

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

[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

code for unsupervised learning Neural Hidden Markov Models paper

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

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

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

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

PyTorch implementation of the CortexNet predictive model

Composable GAN framework with api and user interface

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Convolutional Autoencoder for Loop Closure

Pytorch implementation of β-VAE

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

SelFlow: Self-Supervised Learning of Optical Flow

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Implementing machine learning algorithms from scratch.

PHP-ML - Machine Learning library for PHP

100-Days-Of-ML-Code中文版

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

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

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Learning to Cluster. A deep clustering strategy.

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

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

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

IVA: Independent Vector Analysis implementation

Assessing Source Code Semantic Similarity with Unsupervised Learning

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

BERT, LDA, and TFIDF based keyword extraction in Python

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

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

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]

Self-Supervised Learning Toolbox and Benchmark

(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

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

Deep-learning approaches to object recognition from 3D data

Unsupervised learning and generative models in python/pytorch.

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

A curated list of community detection research papers with implementations.

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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