145 Open source projects that are alternatives of or similar to factorized

Reading list for research topics in multimodal machine learning

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

Awesome Graph Self-Supervised Learning

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

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

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

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

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

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

Ἀνατομή is a PyTorch library to analyze representation of neural networks

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

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

Multi-modal Transformers Excel at Class-agnostic Object Detection

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).

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

A library for evaluating representations.

ExCon: Explanation-driven Supervised Contrastive Learning

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

A model for learning distributed representations of MLB players.

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

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

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

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

Official repository for the ShapeFormer Project

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

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

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

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

Tutorials for Machine Learning on Graphs

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Official adversarial mixup resynthesis repository

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

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

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

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

Proto-RL: Reinforcement Learning with Prototypical Representations

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

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

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

Implementation of Information Dropout

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

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

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

Interface for easier topic modelling.

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

Profiling and Deanonymizing Ethereum Users

Using efficientnet to provide embeddings for retrieval

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

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

Unsupervised Representation Learning for Singing Voice Separation

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

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

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

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

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

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Poincaré Embedding

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