Extremely fast Query Engine for DataFrames, written in Rust
- dataframe-library
- dataframe
- dataframes
- rust
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Extremely fast Query Engine for DataFrames, written in Rust
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
TranslatedWeFlow - a local WeChat chat history export and annual report application
Statsmodels: statistical modeling and econometrics in Python
📈 A small, fast chart for time series, lines, areas, ohlc & bars
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
JavaScript library for HTML5 & CSS3 time sheets
Chronos: Pretrained Models for Time Series Forecasting
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Probabilistic time series modeling in Python
It counts how many times your GitHub profile has been viewed. Free cloud micro-service.
Time series forecasting with PyTorch
NeuralProphet: A simple forecasting package
A GUI for Pandas DataFrames
Interactive visualizations of time series using JavaScript and the HTML canvas tag
The machine learning toolkit for time series analysis in Python
Large list of handpicked color names 🌈
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A python module for scientific analysis of 3D data based on VTK and Numpy
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Tidy Messy Data
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components