751 Open source projects that are alternatives of or similar to reach

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Making sense embedding out of word embeddings using graph-based word sense induction

Using word vectors to classify spam messages

A fast, efficient universal vector embedding utility package.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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.

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

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Fast word vectors with little memory usage in Python

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

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

finalfusion embeddings in Rust

Read and use word2vec vectors in Go

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

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

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

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

Compact high quality word embeddings for Russian language

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Extension to hypothesis for testing numpy general universal functions

My workshop on machine learning using python language to implement different algorithms

Data Augmentation using NumPy

This repository contains notes and projects of Data scientist track from dataquest course work.

使用numpy构建cnn复习深度学习知识

Text Classification in Turkish Texts with Bert

weighted quantiles with Python

The James Webb Space Telescope Quicklook Application

Python Image Search Engine with OpenCV

Python toolkit for GEOS-Chem.

Codenames AI using Word Vectors

Embedding模型代码和学习笔记总结

A FORTRAN module to write Numpy's *.npy and *.npz files

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

经典机器学习算法的极简实现

Python model solving the shallow water equations (linear momentum, nonlinear continuity)

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Play around with Pixel in Python

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

Image Classifier with Flask and Keras CNN

Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.

Embedded UIScrollView for iOS.

A port of a small but relevant part of Numpy to Transcrypt, simplified for the sake of speed

NLP in python Vector Space Modelling and document classification NLP

Sentiment Analysis: Deep Bi-LSTM+attention model

Read numpy .npy files in JavaScript

Functions and classes for gradient-based robot motion planning, written in Ivy.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Library packs for google cloud functions

Developed an AI-based system to control the mouse cursor using Python and OpenCV with the real-time camera. Fingertip location is mapped to RGB images to control the mouse cursor.