Pinned Repositories
2020_OpenGeoHub_machine-learning-madlene
OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training
A-very-short-introduction-to-R
A (very) short introduction to R
free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
PowerlawLSTM
surajitdb's Repositories
surajitdb/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
surajitdb/Blaze-Forecaster
The package employs a combination of time series models: SARIMA and Prophet. Required installations to run the package: Stats models, Prophet.
surajitdb/conditional-conformal
A package for conformal prediction with conditional guarantees.
surajitdb/course-content
surajitdb/coverforest
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
surajitdb/crepes
Conformal classifiers, regressors and predictive systems
surajitdb/cv
Geoff Boeing's academic CV in LaTeX
surajitdb/DeepSeek-TS
surajitdb/dinosaur
NeuralGCM's differentiable dycore
surajitdb/forecast
Forecasting Functions for Time Series and Linear Models
surajitdb/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
surajitdb/HopCPT
Conformal Prediction for Time Series with Modern Hopfield Networks
surajitdb/intermittent_time_series
surajitdb/LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
surajitdb/neuralgcm
Hybrid ML + physics model of the Earth's atmosphere
surajitdb/ngboost
Natural Gradient Boosting for Probabilistic Prediction
surajitdb/OGH_summer_school_2023
Links and slides from the OpenGeoHub summer school 2023
surajitdb/pastas
:spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.
surajitdb/pastastore
:spaghetti: :convenience_store: Tools for managing timeseries and Pastas models
surajitdb/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
surajitdb/pp-s2s
surajitdb/ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
surajitdb/puncc
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
surajitdb/py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
surajitdb/python-for-everybody-solutions
Solutions to Python for Everybody: Exploring Data using Python 3 by Charles Severance
surajitdb/rTLsDeep
surajitdb/TA-applications
surajitdb/tabzilla
surajitdb/time-series-analysis
Collection of notebooks for time series analysis
surajitdb/Xee
An Xarray extension for Google Earth Engine