324 Open source projects that are alternatives of or similar to Cc

SelFlow: Self-Supervised Learning of Optical Flow

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

TensorFlow implementation for "Guided Optical Flow Learning"

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

Unsupervised Learning for Image Registration

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Caffe implementation for "Guided Optical Flow Learning"

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

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

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

Cool Vision projects

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

TOFlow: Video Enhancement with Task-Oriented Flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

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

Deep-learning approaches to object recognition from 3D data

Learning to Cluster. A deep clustering strategy.

Unsupervised Controllable Text Generation (Applied to text Formalization)

Find nodes in hierarchical clustering that are statistically significant

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

Implementing machine learning algorithms from scratch.

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

Chainer implementation of deep-INFOMAX

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

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

Ladder Variational Autoencoders (LVAE) in PyTorch

[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。

High performance unsupervised text tokenization for Ruby

Self-Supervised depth kalilia

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

PyTorch implementation of the CortexNet predictive model

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

Google Colab notebook for running Nvidia flownet2-pytorch

Model for learning document embeddings along with their uncertainties

BriefMatch real-time GPU optical flow

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

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

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

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

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

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

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Pytorch implementation of β-VAE

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

Mining Discourse Markers for Unsupervised Sentence Representation Learning

A comprehensive list of awesome contrastive self-supervised learning papers.

Machine Learning (EE 5184) in NTU

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks