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

Machine Learning Practical course repository

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Grokking Deep Reinforcement Learning

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

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

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

RadIO is a library for data science research of computed tomography imaging

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

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

Repo for the Deep Reinforcement Learning Nanodegree program

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Deep Learning Specialization by Andrew Ng on Coursera.

A collection of Bayesian data analysis recipes using PyMC3

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Automatic extraction of relevant features from time series:

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Image augmentation library in Python for machine learning.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Aspect-Based Sentiment Analysis

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

Solution to Kaggle - Web Traffic Time Series Forecasting

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Visualisations for Convolutional Neural Networks in Pytorch

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

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

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

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

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

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

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

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

Deep learning meets molecular dynamics.

Deep Markov Models

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

Stock Analysis Tutorial in Python

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

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

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

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

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.

Tutorial Sessions for SciPy Con 2019

ASAP: Prioritizing Attention via Time Series Smoothing

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

🟣 Object detection of abstract shapes with neural networks

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

Applying Data Science and Machine Learning to Solve Real World Business Problems

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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.

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

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

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