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

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

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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

Building Decision Trees From Scratch In Python

🏭 JavaScript Machine Learning Toolkit

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

simple tutorial on Machine Learning with Scikitlearn

Machine Learning University: Decision Trees and Ensemble Methods

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

A curated list of gradient boosting research papers with implementations.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A collection of research papers on decision, classification and regression trees with implementations.

Text Classification Algorithms: A Survey

Python code for common Machine Learning Algorithms

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

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

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。

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

🌳 Stacked Gradient Boosting Machines

📒 Experiment tracking tool and model registry

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Kaggle Kernels (Python, R, Jupyter Notebooks)

Scalable machine 🤖 learning for time series forecasting.

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Show how to perform fast retraining with LightGBM in different business cases

Machine Learning library for the web and Node.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Heart Disease prediction using 5 algorithms

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

AI比赛相关信息汇总

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Predicting the winner of 2019 cricket world cup using random forest algorithm

A document covering machine learning basics. 🤖📊

Earthquake Prediction Challenge with LightGBM and XGBoost

Automatic machine learning for tabular data. ⚡🔥⚡

Matlab library for gradient descent algorithms: Version 1.0.1

Information Retrieval in High Dimensional Data (class deliverables)

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

(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

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

经典机器学习算法的极简实现

Bayesian Optimization and Grid Search for xgboost/lightgbm

关注AI模型上线、模型部署

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

2017第一届腾讯社交广告高校算法大赛Rank28_code

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

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

住房月租金预测大数据赛TOP1

Open solution to the Home Credit Default Risk challenge 🏡

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

A full pipeline AutoML tool for tabular data

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢