667 Open source projects that are alternatives of or similar to Text Classification Benchmark

Using LSTM network for time series forecasting

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Tensorflow implementations of Text Classification Models.

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

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Tiny Gradient Boosting Tree

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A Feed Aggregator that Knows What You Want to Read.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Tensorflow implementation of attention mechanism for text classification tasks.

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中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

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[CIKM 2018] Weakly-Supervised Neural Text Classification

Natural Language Processing for Lithuanian language

[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

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Graph-based framework for text classification

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Python for Text Classification with Machine Learning in Python 3.6.

detect stages in video automatically

stratigraphic machine-learning - active work moved to Predictatops

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Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

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.

Keras implementation of Character-level CNN for Text Classification

MATLAB implementation of a basic HOG + SVM pedestrian detector.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Machine learning for C# .Net

Machine Learning algorithms coded from scratch

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Classification of Breast Cancer diagnosis Using Support Vector Machines

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Machine Learning Course @ Santa Clara University

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💫 Industrial-strength Natural Language Processing (NLP) in Python

About Muti-Label Text Classification Based on Neural Network.

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Simple and Distributed Machine Learning

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The Operator Splitting QP Solver

Is This a Joke? Humor Detection in Spanish Tweets