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project_causal_climate_dynamics

Causal discovery of drivers of the summer Himalayan precipitation

py-spy

Sampling profiler for Python programs

python-practical-application-on-climate-variability-studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

python-resources-for-earth-sciences

A Curated List of Python Resources for Earth Sciences

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, DPN, CSPNet, and more

pytorch_stacked_hourglass

Pytorch implementation of "Stacked Hourglass Networks for Human Pose Estimation"

reed_muller

Implementation of Reed_Muller algorithm.

regression-classification-keras

Demonstration of how to use the Keras library in Deep Neural Networks to solve Regression as well as Classification Problems.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rl-reliability-metrics

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

salem

Add geolocalised subsetting, masking, and plotting operations to xarray

sc19-dl-tutorial

Hands-on material for the SC19 tutorial, Deep Learning at Scale

seismicmesh

2D/3D serial and parallel triangular mesh generation tool for finite element methods.

shopview

View of card description

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tdalabs

teca

TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.

testing_repo

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

topological-methods-for-climate-data

Working prototype of topological & machine learning method for AGU book chapter, Wiley.

water-security-in-the-himalayas

Detecting changes in Himalayan glaciers and impacts on water security

xarray-tutorial

Xarray Tutorials