raghul-parthipan

cl-datasci-pnp

Data Science: Principles and Practice, 2019-20

deep_generative_models_for_exposomics

Repo for MRes work looking at deep generative models for exposomics.

dont_waste_data

Repo for Don't Waste Data paper.

dspnp

Part II Data Science Principles and Practice

handson_ml2_geron

Cloned and edited repo for the Hands-On ML book by Geron

l96_rnn

Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

raghul-parthipan.github.io

semi_supervised_learning_vae

A re-implementation of the Kingma et al. semi-supervised paper

urban-climate-downloader

BAS internal

raghul-parthipan/cl-datasci-pnp

Data Science: Principles and Practice, 2019-20

raghul-parthipan/deep_generative_models_for_exposomics

Repo for MRes work looking at deep generative models for exposomics.

raghul-parthipan/dont_waste_data

Repo for Don't Waste Data paper.

raghul-parthipan/dspnp

Part II Data Science Principles and Practice

raghul-parthipan/handson_ml2_geron

Cloned and edited repo for the Hands-On ML book by Geron

raghul-parthipan/l96_rnn

Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning

raghul-parthipan/ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

raghul-parthipan/raghul-parthipan.github.io

raghul-parthipan/semi_supervised_learning_vae

A re-implementation of the Kingma et al. semi-supervised paper

raghul-parthipan/urban-climate-downloader

BAS internal