merl-dev's Stars
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
mlflow/mlflow
Open source platform for the machine learning lifecycle
github/copilot.vim
Neovim plugin for GitHub Copilot
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
theicfire/makefiletutorial
Learn make by example
awslabs/gluonts
Probabilistic time series modeling in Python
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
JuliaPy/PyCall.jl
Package to call Python functions from the Julia language
Gruntfuggly/todo-tree
Use ripgrep to find TODO tags and display the results in a tree view
koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
Unidata/MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
JuliaPy/PythonCall.jl
Python and Julia in harmony.
BGU-CS-VIL/DeepDPM
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
cerlymarco/tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
pySTEPS/pysteps
Python framework for short-term ensemble prediction systems.
JuliaParallel/MPI.jl
MPI wrappers for Julia
google-research/python-graphs
A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.
h2oai/db-benchmark
reproducible benchmark of database-like ops
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
tradingstrategy-ai/trading-strategy
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
wearepal/data-science-types
Mypy stubs, i.e., type information, for numpy, pandas and matplotlib
tblume1992/ThymeBoost
Forecasting with Gradient Boosted Time Series Decomposition
ajayarunachalam/Deep_XF
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.
mohirio/jupyterlab-horizon-theme
VSCode Horizon Theme port for JupyterLab
kamperh/lecture_dtw_notebook