1049 Open source projects that are alternatives of or similar to Ml Projects

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

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

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

(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

文本分类基准测试

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Sarcasm Detection for Sentiment Analysis

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Python code for common Machine Learning Algorithms

CNN-RNN中文文本分类，基于TensorFlow

The missing SVM-based text classification module implementing HanLP's interface

嵌入Word2vec词向量的CNN中文文本分类

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Code for Tensorflow Machine Learning Cookbook

A fast, efficient universal vector embedding utility package.

document embedding and machine learning script for beginners

NLP with NLTK for Sentiment analysis amazon Products Reviews

A document covering machine learning basics. 🤖📊

bitcoin prediction algorithms

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

🏭 JavaScript Machine Learning Toolkit

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

extract relationships from standardized terms from corpus of interest with deep learning 🐟

simple tutorial on Machine Learning with Scikitlearn

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Machine Learning library for the web and Node.

中文詞向量訓練教學

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Fast word vectors with little memory usage in Python

基于Pytorch和torchtext的自然语言处理深度学习框架。

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

🦆 Contextually-keyed word vectors

The reference implementation of "Multi-scale Attributed Node Embedding".

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

FastText for Node.js

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Text Classification Algorithms: A Survey

📓 Long(er) text representation and classification using Doc2Vec embeddings