160 Open source projects that are alternatives of or similar to meta-embeddings

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

A curated list of network embedding techniques.

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

This project presents a simple framework to retrieve images similar to a query image.

Contrastive Predictive Coding for Automatic Speaker Verification

Awesome Graph Self-Supervised Learning

Predictive Coding for Locally-Linear Control (ICML-2020)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Deforming kernels to adapt towards object deformation. In ICLR 2020.

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

It is a complete project of voiceprint recognition or speaker recognition.

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Implementation of VLAE

Ἀνατομή is a PyTorch library to analyze representation of neural networks

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

A library for evaluating representations.

Pytorch implementation of Generalized End-to-End Loss for speaker verification

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Official adversarial mixup resynthesis repository

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Must-read papers and resources related to causal inference and machine (deep) learning

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

neural network based speaker embedder

Representation learning for link prediction within social networks

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Poincaré Embedding (unofficial)

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Speaker recognition library based on MARF for raspberry pi and other SBCs.

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Using efficientnet to provide embeddings for retrieval

Awesome Transformers (self-attention) in Computer Vision

Tutorials for Machine Learning on Graphs

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings