473 Open source projects that are alternatives of or similar to Hash Embeddings

Information Retrieval in High Dimensional Data (class deliverables)

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Intelligent Word Embeddings of Free-Text Radiology Reports

Simple downloader for pre-trained word vectors

DJB2a non-cryptographic hash function

MSc Module

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

Functional workflows

Fast and simple application that allows you to generate and compare hashes from files and text

An R package for data screening

Secure your assets and data from unwanted download. Apply TYPO3 access rights to ALL file assets (PDFs, TGZs or JPGs etc. - configurable) - protect them from direct access.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Tutorials for Machine Learning on Graphs

Node.js bindings for Argon2 hashing algorithm

Audited & minimal JS implementation of SHA2, SHA3, RIPEMD, BLAKE2/3, HMAC, HKDF, PBKDF2 & Scrypt

Must-read papers on deep learning to hash (DeepHash)

Arabic Word Embeddings Word2vec

A platform for end-to-end development of machine learning solutions in biomedical imaging

Simple nlp chatbot

Recommender Systems Paperlist that I am interested in

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

Collection of solution for problems on InterviewBit

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A compressed, associative, exact, and weighted dictionary for k-mers.

All my experiments with AI and ML

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

A pipeline for training word embeddings using word2vec on wikipedia corpus.

Cookbook examples for the Insight Toolkit documented with Sphinx

Cross-disease comparison of case-control gut microbiome studies

Graph convolutional neural network for multirelational link prediction

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

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

Code for Supervised Word Mover's Distance (SWMD)

Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb

WRENCH: Cyberinfrastructure Simulation Workbench

Compute xxHash hash codes for 8 keys in parallel

CSKG: The CommonSense Knowledge Graph

aHash is a non-cryptographic hashing algorithm that uses the AES hardware instruction

Examples of generating HMAC and RSA signature for Binance API

R interface to the Open Science Framework (OSF)

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

Named Entity Recognition using multilayered bidirectional LSTM

An advanced cryptography tool for hashing, encrypting, encoding, steganography and more.

Top2Vec learns jointly embedded topic, document and word vectors.

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

Read and use word2vec vectors in Go

Evaluate your word embeddings

An R package for storing and retrieving data.frames in git repositories.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

LASER multilingual sentence embeddings as a pip package

Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing

Benchmark showing the we can randomly hash strings very quickly with good universality

A sophisticated smart symptom search engine

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

Optimized BLAKE2 hashing implementations in C#