261 Open source projects that are alternatives of or similar to Recursive Cascaded Networks

Keras implementation of Representation Learning with Contrastive Predictive Coding

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

PyTorch implementation of the CortexNet predictive model

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

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Pytorch implementation of β-VAE

Transformer for Graph Classification (Pytorch and Tensorflow)

SelFlow: Self-Supervised Learning of Optical Flow

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

Implementing machine learning algorithms from scratch.

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

100-Days-Of-ML-Code中文版

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

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

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

Unsupervised Speech Decomposition Via Triple Information Bottleneck

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

Learning to Cluster. A deep clustering strategy.

[NeurIPS 2019] Spherical Text Embedding

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

Self-Supervised Learning Toolbox and Benchmark

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

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

PyTorch Blog Post On Image Similarity Search

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

code/webpage for the DeepMapping project

BERT, LDA, and TFIDF based keyword extraction in Python

Code for unsupervised aspect extraction, using Keras and its Backends

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

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

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

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

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

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

Deep-learning approaches to object recognition from 3D data

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

Unsupervised Controllable Text Generation (Applied to text Formalization)

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

Find nodes in hierarchical clustering that are statistically significant

code for unsupervised learning Neural Hidden Markov Models paper

Chainer implementation of deep-INFOMAX

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

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

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

How to do Unsupervised Clustering with Keras

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Composable GAN framework with api and user interface

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

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Latent space autoregression for novelty detection.

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

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