Manmeet Singh's repositories
Non-Linear-Time-Series-Analysis
This repository is intended to serve as a standalone package for all non linear time series based analysis
MPI-Tutorials-ESM-School-2016
I taught this course at the Advanced School on Earth System Modelling, IITM Pune (India) in 2016
competitive-data-science-1
How to Win a Data Science Competition: Learn from Top Kagglers
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
fingerprint-volcano-enso-im
Code for Fingerprint of Volcanic Forcing on the ENSO–Indian Monsoon Coupling
Angela-Yu-Web-Bootcamp-2020
Exercises for https://www.udemy.com/course/the-complete-web-development-bootcamp/
cmor
Climate Model Output Rewriter
coupling-metrics
Contains several fortran 90 subroutines used to calculate various land-atmosphere coupling metrics
data2gfs
create NCEP-GFS sigma restart file
deep-learning
Experiments in deep learning
DLWP-CS
Deep learning models for global weather prediction on a cubed sphere
end2endai
An End to End AI system
fastai
The fastai deep learning library, plus lessons and and tutorials
geekezmalin
A Collection of examples program for ocean modeling and analysis
graphical_model_learning
Learning graphical models, with a focus on causal models and learning from interventional data.
iitm_ncl
Example data and codes of the NCL class at IITM
LISF
Land Information System Framework
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
rEDM
Applications of Empirical Dynamic Modeling from Time Series
SRU_for_GCI
Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
Streamflow-and-Flood-Predictions
This is a personal temporary repository. This will be merged into the UIHI Lab repository after code review.
v-cdn
[NeurIPS 2020] Causal Discovery in Physical Systems from Videos