1816 Open source projects that are alternatives of or similar to Flow Forecast

LSTM to predict wind speed

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

NLP Paper

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Voice Activity Detection based on Deep Learning & TensorFlow

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

Application of machine learning to the Coinbase (GDAX) orderbook

A toolkit for working with time series in R

Resampling Tools for Time Series Forecasting with Modeltime

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

convolutional lstm implementation in pytorch

To classify video into various classes using keras library with tensorflow as back-end.

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

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.

Open Toolkit for Painless Object Detection

Calculates various features from time series data. Python implementation of the R package tsfeatures.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

resources for the IBM Airlines Table-Question-Answering Benchmark

A python library for easy manipulation and forecasting of time series.

Implementation of soft dynamic time warping in pytorch

A Python library for time series forecasting

Scalable machine 🤖 learning for time series forecasting.

Time series analysis in Java

An open source library for Fuzzy Time Series in Python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Probabilistic time series modeling in Python

Modeltime unlocks time series forecast models and machine learning in one framework

Learning to Cluster. A deep clustering strategy.

Automated Time Series Forecasting

Time Series Forecasting Best Practices & Examples

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

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.

Python package for early warning signals (EWS) of bifurcations in time series data.

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Using LSTM network for time series forecasting

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

GluonTS Deep Learning with Modeltime

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

Merlion: A Machine Learning Framework for Time Series Intelligence

Abstractive summarisation using Bert as encoder and Transformer Decoder

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

⏰ AI conference deadline countdowns

Accumulo backed time series database

CNN+LSTM+CTC based OCR implemented using tensorflow.

ByteNet for character-level language modelling

BCDU-Net : Medical Image Segmentation

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Code for reproducing Manifold Mixup results (ICML 2019)

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

CRNN with attention to do OCR,add Chinese recognition