7309 Open source projects that are alternatives of or similar to Tsai

Anything can happen in the next half hour (including spectral timing made easy)!

Solution to Kaggle - Web Traffic Time Series Forecasting

1st place solution

Stock Analysis Tutorial in Python

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.

PyTorch tutorial for learners

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Natural Language Processing with TensorFlow, published by Packt

A machine learning toolkit dedicated to time-series data

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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코딩셰프의 3분 딥러닝, 케라스맛

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

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.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

All about Neural Networks!

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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.

Datasets, tools, and benchmarks for representation learning of code.

A use-case focused tutorial for time series forecasting with python

A python library for time-series smoothing and outlier detection in a vectorized way.

Deep learning codes and projects using Python

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A Multipurpose Library for Synthetic Time Series Generation in Python

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Predict time-series with one line of code.

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

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.

Reusable CNN and RNN model doing time series binary classification

Time Series Ensemble Forecasting

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

If you can measure it, consider it predicted

Collection of several downsampling methods for time series visualisation purposes.

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

Resources for working with time series and sequence data

Highly comparative time-series analysis

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

A framework for historical volatility estimation and analysis.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Image Captioning using InceptionV3 and beam search

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

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Code examples for pyFTS

A python multi-variate time series prediction library working with sklearn