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

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

Implementations of machine learning algorithm by Python 3

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Classification of Breast Cancer diagnosis Using Support Vector Machines

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Predicting Google’s stock price using regression

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

100 Days of ML Coding

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

(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

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

Interactive SVM Explorer, using Dash and scikit-learn

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。

host load prediction with Long Short-Term Memory in cloud computing

Algorithmic trading using machine learning.

crnn.caffe

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Vanilla LSTM with numpy

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Automatic machine learning for tabular data. ⚡🔥⚡

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

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

Recurrent Additive Networks for Tensorflow

Enhanced BiLSTM Inference Model for Natural Language Inference

2019년 민족사관고등학교 졸업 프로젝트

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

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

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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.

A Python package for fitting Quinlan's Cubist regression model

Polyaxon Core Client & CLI to streamline MLOps

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

Hands-on in-person workshop for Deep Learning with TensorFlow

LSTM based human activity recognition using smart phone sensor dataset

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

Predict materials properties using only the composition information!

A new fork base on tess-two and Tesseract 4.0.0

A gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition

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).

Pedestrian Detection using Non Maximum Suppression

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

LIBSVM bindings for Julia

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

nlp lecture-notes and source code

A document covering machine learning basics. 🤖📊

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

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.

Video prediction using lstm and unet

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Using LSTM network for time series forecasting

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