6609 Open source projects that are alternatives of or similar to Unsupervisedscalablerepresentationlearningtimeseries

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Anomaly detection for temporal data using LSTMs

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Code for the Lovász-Softmax loss (CVPR 2018)

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

Implementation of simple autoencoders networks with Keras

Code for "A-NICE-MC: Adversarial Training for MCMC"

Stock Analysis Tutorial in Python

Machine Learning for High Energy Physics.

Time Series Forecasting Best Practices & Examples

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Visualisations for Convolutional Neural Networks in Pytorch

Koç University deep learning framework.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Deep Markov Models

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

A collection of deep learning models implemented in PyTorch

Fast and Easy Infinite Neural Networks in Python

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

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

Probabilistic time series modeling in Python

ASAP: Prioritizing Attention via Time Series Smoothing

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

🟣 Object detection of abstract shapes with neural networks

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Training Diary

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

brief introduction to Python for neural networks

Books, papers and links to latest research in ML/AI

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

This toolbox is support material for the book on CNN (http://www.convolution.network).

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

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

1st place solution

Deep learning meets molecular dynamics.

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Tutorial Sessions for SciPy Con 2019

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Variational Autoencoder for Dimensionality Reduction of Time-Series

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

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

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

My personal notes, presentations, and notebooks on everything Deep Learning.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Deep learning codes and projects using Python

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

A Multipurpose Library for Synthetic Time Series Generation in Python

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.