847 Open source projects that are alternatives of or similar to turbofan_failure

Automatic machine learning for tabular data. ⚡🔥⚡

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

A library to parse and convert PMML models into Scikit-learn estimators.

The R package for SVM with GPU architecture based on the GTSVM software

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

No description or website provided.

Recurrent Additive Networks for Tensorflow

Training time estimation for scikit-learn algorithms

Enhanced BiLSTM Inference Model for Natural Language Inference

Machine learning in Matlab using scikit-learn syntax

2019년 민족사관고등학교 졸업 프로젝트

A scikit-learn compatible implementation of hyperband

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Public reusable components for Polyaxon

No description or website provided.

liblinear bindings for Go

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

I am taking up the #100DaysOfMLCode Challenge 😎

A Python package for fitting Quinlan's Cubist regression model

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Polyaxon Core Client & CLI to streamline MLOps

⏱ Benchmarks of machine learning inference for Go

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

PipelineAI Kubeflow Distribution

LSTM based human activity recognition using smart phone sensor dataset

Applying machine learning to predict loan charge-offs on LendingClub.com

(Python) transform a document-term matrix to an Okapi/BM25 representation

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

Pedestrian Detection using Non Maximum Suppression

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

新浪微博情感分析应用

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

This repository is a recommended track, designed to get started with Machine Learning.

nlp lecture-notes and source code

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

RNN-LSTM that learns passwords from a starting list

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

Scene text detection and recognition based on Extremal Region(ER)

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Video prediction using lstm and unet

machine learning algorithm

LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification

Using LSTM network for time series forecasting

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

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。

Machine learning in Python with scikit-learn MOOC

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Gaussian Process package based on data augmentation, sparsity and natural gradients

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

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

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.

机器学习与深度学习算法示例

No description or website provided.

My textbook for teaching Machine Learning

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

hook msr by amd svm