858 Open source projects that are alternatives of or similar to wax-ml

Connectors available to retrieve data in Toucan Toco small apps

Download data from EOD historical data https://eodhistoricaldata.com/ using Python, Requests and Pandas.

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

Small library to read serialized protobuf(s) directly into Pandas Dataframe

Open weather data for humans

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Reusable CNN and RNN model doing time series binary classification

PIX is an image processing library in JAX, for JAX.

Nested Sampling post-processing and plotting

web scraping tool for grailed.com

Facial Expression Recognition

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

Bayesian Generalized Linear Models with Time-Varying Coefficients

Track Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

Functions for easily making publication-quality figures with matplotlib.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

Example notebooks illustrating MovingPandas use cases

Predict time-series with one line of code.

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

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Forecast time series and stock prices with SCINet

Poor man's time series functionality for PostgreSQL

Example of order book modeling.

An introductory workshop on pandas with notebooks and exercises for following along.

PlotTwist - a web app for plotting and annotating time-series data

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

Code examples for pyFTS

A High-Performance Data Science Toolkit for the Earth Sciences

Xarray backend to Copernicus Sentinel-1 satellite data products

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

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.

Classifying time series using feature extraction

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.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

An OpenTSDB-like time series database, with much better performance.

SADDLE: Scala Data Library

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

Python package for automatically constructing features from multiple time series

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

ES6 module of cubism.js, based on d3v5.

PyTorch implementations of neural networks for timeseries classification

Simple stock price analytics

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Universal 1d/2d data containers with Transformers functionality for data analysis.

Time series market data

Reading and writing pandas DataFrames in Elasticsearch

Wavefront Proxy Project

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Tools that make working with scikit-learn and pandas easier.

Probably the best curated list of data science books in Python

An integrated framework in R for textual sentiment time series aggregation and prediction

A visual data pipeline builder with various backends

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Apache InLong - a one-stop integration framework for massive data

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor