arpitsisodia Goto Github PK

adlawithr-gettingstarted

Getting Started with ADLA with R

aix360

Interpretability and explainability of data and machine learning models

anomaly_detection

Anomaly Detection

azure-ml

Training resources around Azure Machine Learning

bayesian-data-analysis

Bayesian data analysis taught by Saurav Charavorty

bot

Training resources around Microsoft Bot Framework

car_dataset

case-study-daiichis

classfication_explainability

Code explains the data through multiple plots, builds white box classification model with Var explanation, Builds surrogate classification model and local explainability

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

complete-python-of-data-science

data_sets

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning

Training resources around Deep Learning and CNTK

deeplearningbook

MIT Deep Learning Book in PDF format

expected-deaths-from-covid-19

hidden-markov-example

iisc

IISC notebooks

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

kfas

KFAS: R Package for Exponential Family State Space Models

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-drift-detection

mrs

Training resources around Microsoft R for Data Science

nlp

all algos related to NLP

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

pythonprep

pytorch_example

sisodia.arpit-gmail.com

Covid- 19 Expected number of deaths

streamlit_huggingface_app

xai-on-cifar-dataset-using-shap-deepexplainer-

This is example on how to use SHAP's DeepExplainer to explain which part of image is focused ( learnt) to predict output class.