278 Open source projects that are alternatives of or similar to Jodie

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

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

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Using efficientnet to provide embeddings for retrieval

Tutorials for Machine Learning on Graphs

Graph convolutional neural network for multirelational link prediction

Semantic Entity Retrieval Toolkit

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

A package for Multiple Kernel Learning in Python

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

dna2vec: Consistent vector representations of variable-length k-mers

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

R wrapper for fastText

Character-based word embeddings model based on RNN for handling real world texts

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

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

ConMask model described in paper Open-world Knowledge Graph Completion.

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

An implementation of skip-thought vectors in Tensorflow

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

scikit-fusion: Data fusion via collective latent factor models

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

Datasets, tools, and benchmarks for representation learning of code.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

LASER multilingual sentence embeddings as a pip package

ICE: Item Concept Embedding

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Multi-object image datasets with ground-truth segmentation masks and generative factors.

100+ Chinese Word Vectors 上百种预训练中文词向量

Awesome Transformers (self-attention) in Computer Vision

📜 Self-Supervised Learning from Images: Up-to-date reading list.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

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

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

A sophisticated smart symptom search engine

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

entity2rec generates item recommendation using property-specific knowledge graph embeddings

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

A curated list of awesome embedding models tutorials, projects and communities.

Context-sensitive word embeddings with subwords. In Rust.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

All my experiments with AI and ML