1518 Open source projects that are alternatives of or similar to Time Series Prediction

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코딩셰프의 3분 딥러닝, 케라스맛

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Natural Language Processing with TensorFlow, published by Packt

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

1st place solution

Solution to Kaggle - Web Traffic Time Series Forecasting

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

CNN for stock market prediction using raw data & candlestick graph.

A repository to keep track of all the code that I end up writing for my blog posts.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

SincNet is a neural architecture for efficiently processing raw audio samples.

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

A DCGAN to generate anime faces using custom mined dataset

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

GANs for time series generation in pytorch

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

This repository contains a new generative model of chatbot based on seq2seq modeling.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Densely Connected Pyramid Dehazing Network (CVPR'2018)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

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

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.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

Sequence-to-Sequence Framework in PyTorch

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

A deep learning library to provide algs in pure Numpy or Tensorflow.

Symbolic Music Genre Transfer with CycleGAN

Synthetic Data Generation for tabular, relational and time series data.

Python implementation of Empirical Mode Decompoisition (EMD) method

A neural network that transforms a design mock-up into a static website.

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

A modern PyTorch implementation of SRGAN

CNN-RNN中文文本分类，基于TensorFlow

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

DeltaPy - Tabular Data Augmentation (by @firmai)

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Novoic's audio feature extraction library

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Ruby client for InfluxDB

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

Pytorch seq2seq chatbot

GitHub repository for "Improving Video Generation for Multi-functional Applications"

Chart.js plugin for live streaming data