1363 Open source projects that are alternatives of or similar to battery-rul-estimation

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

Code for Java Deep Learning Cookbook

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Speaker independent emotion recognition

A stock trading bot that uses machine learning to make price predictions.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Software for diyBMS v4

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.

Using LSTM network for time series forecasting

This is an Arduino library providing an emulation of the CAN communication protocol of the BMS (battery management system) on a Renault Twizy.

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Self-contained Machine Learning and Natural Language Processing library in Go

Apparel detection using deep learning

Various methods for generating synthetic data for data science and ML

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Voice Activity Detection based on Deep Learning & TensorFlow

Anomaly detection tutorial on univariate time series with an auto-encoder

Anomaly detection for temporal data using LSTMs

Library of autoencoders for sequential data

Online Hand Writing Recognition using BLSTM

Forecasting Solar Power: Analysis of using a LSTM Neural Network

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Optical character recognition Using Deep Learning

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

foxBMS 2, online documentation at https://docs.foxbms.org

keras를 이용한 딥러닝 기초 학습

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

机器学习与深度学习算法示例

An open-source, low-code machine learning library in Python

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Examples of Data Science projects and Artificial Intelligence use cases

GANs for time series generation in pytorch

Annotation of ECG signals using deep learning, tensorflow’ Keras

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

A Python library for time series forecasting

A Keras library for multi-step time-series forecasting.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

List of papers, code and experiments using deep learning for time series forecasting

Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack

Sentiment Analysis: Deep Bi-LSTM+attention model

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Samples for TensorFlow binding for .NET by Lost Tech

Face Recognition based on DeepID

No description or website provided.

Research papers on ML for security

Product-Aware Answer Generation in E-Commerce Question-Answering

Image Forgery Detection using Deep Learning, implemented in PyTorch.

Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

CPU and GPU implementations of some 2D RNN layers