183 Open source projects that are alternatives of or similar to Half Size

finalfusion embeddings in Rust

Using pre trained word embeddings (Fasttext, Word2Vec)

Exploring the simple sentence similarity measurements using word embeddings

Fast word vectors with little memory usage in Python

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

A fast, efficient universal vector embedding utility package.

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

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

📈 Find your fasttext hyperparameters quickly and easily.

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Convolution dictionary learning for time-series

Text classification using deep learning models in Pytorch

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

End-to-End Differentiable Proving

A state-of-the-art semi-supervised method for image recognition

All about Neural Networks!

一个生产级、高性能、模块化、可扩展的中文NLP工具包。（中文分词、平均感知机、fastText、拼音、新词发现、分词纠错、BM25、人名识别、命名实体、自定义词典）

H2Oai GPU Edition

PCA and DBSCAN based anomaly and outlier detection method for time series data.

Implementation of State-of-the-art Text Classification Models in Pytorch

Reproduction code for WGAN-LP

Our NIPS 2017: Learning to Run source code

all kinds of text classification models and more with deep learning

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

Binary Convolution Network for faster real-time processing in ASICs

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

A repository for recording the machine learning code

Four word embedding models implemented in Python. Supporting arbitrary context features

Automatic paper clustering and search tool by fastext from Facebook Research

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Node wrapper around FastText Library

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Word Embeddings (e.g. Word2Vec) in Go!

A lean C++ library for working with point cloud data

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Compute Sentence Embeddings Fast!

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

A collection of Poisson lognormal models for multivariate count data analysis

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Telegram Data Clustering contest solution by Mindful Squirrel

This repository contains a new generative model of chatbot based on seq2seq modeling.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

reference pytorch code for named entity tagging

Service Classification based on Service Description

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Python code for common Machine Learning Algorithms

SJTU CS386 Digital Image Processing