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

Transformer for Graph Classification (Pytorch and Tensorflow)

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

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

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

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

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

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

PyTorch Blog Post On Image Similarity Search

code/webpage for the DeepMapping project

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

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

code for unsupervised learning Neural Hidden Markov Models paper

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

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

How to do Unsupervised Clustering with Keras

Composable GAN framework with api and user interface

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"

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

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Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

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Contrastive Predictive Coding for Automatic Speaker Verification

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

IVA: Independent Vector Analysis implementation

Deep learning using tensorflow

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

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

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

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

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

A Compositional Object-Based Approach to Learning Physical Dynamics

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

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

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

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.

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

Convolutional Autoencoder for Loop Closure

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

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/>.

Unsupervised learning and generative models in python/pytorch.

[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