140 Open source projects that are alternatives of or similar to t2vec

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

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

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

Unsupervised Representation Learning for Singing Voice Separation

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

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Official adversarial mixup resynthesis repository

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

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

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Ἀνατομή is a PyTorch library to analyze representation of neural networks

A model for learning distributed representations of MLB players.

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Whitening for Self-Supervised Representation Learning | Official repository

Tutorials for Machine Learning on Graphs

Profiling and Deanonymizing Ethereum Users

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

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

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

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

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

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

ExCon: Explanation-driven Supervised Contrastive Learning

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Using efficientnet to provide embeddings for retrieval

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

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Official repository for the ShapeFormer Project

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

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

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

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

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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).

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Awesome Graph Self-Supervised Learning

Masked face recognition focuses on identifying people using their facial features while they are wearing masks. We introduce benchmarks on face verification based on masked face images for the development of COVID-safe protocols in airports.

A library for evaluating representations.

Poincaré Embedding

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

[ICLR 2019] Learning Factorized Multimodal Representations

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

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Python tools for spatial trajectory and time-series data analysis

Draw your own Rectangular Statistical Cartogram - CRAN package

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

Proto-RL: Reinforcement Learning with Prototypical Representations

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Implementation of Information Dropout

Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)

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

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

Reading list for research topics in multimodal machine learning

Official code for "Mean Shift for Self-Supervised Learning"