332 Open source projects that are alternatives of or similar to Pase

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

[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.

Tracking the progress in end-to-end speech translation

BERT, LDA, and TFIDF based keyword extraction in Python

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

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 This reference implementation has been superseded by other versions below.

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

A python wrapper for Speech Signal Processing Toolkit (SPTK).

Chainer implementation of deep-INFOMAX

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

a neural network toolbox for animal vocalizations and bioacoustics

Reading list for research topics in multimodal machine learning

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

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

Library to build speech synthesis systems designed for easy and fast prototyping.

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

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Ladder Variational Autoencoders (LVAE) in PyTorch

Pytorch implementation of β-VAE

Find nodes in hierarchical clustering that are statistically significant

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

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

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

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

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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

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

TCyb 2018: Graph learning for multiview clustering

Novoic's audio feature extraction library

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

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

(1st place at HopHacks) A dynamic webVR memory palace for speech training, utilizing natural language processing and Google Streetview API

This repository has implementation for "Neural Voice Cloning With Few Samples"

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

[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。

Deep-learning approaches to object recognition from 3D data

Learning to Cluster. A deep clustering strategy.

Unsupervised Controllable Text Generation (Applied to text Formalization)

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

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"

Implementing machine learning algorithms from scratch.

Model for learning document embeddings along with their uncertainties

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Scripts for LIUM SpkDiarization tools

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

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

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

Mining Discourse Markers for Unsupervised Sentence Representation Learning

100-Days-Of-ML-Code中文版

Assessing Source Code Semantic Similarity with Unsupervised Learning

PyTorch implementation of the CortexNet predictive model

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

SelFlow: Self-Supervised Learning of Optical Flow

和（he for objective-c） —— “信息熵减机系统”

Machine Learning (EE 5184) in NTU