Skip to content
View rakeshchada's full-sized avatar

Block or report rakeshchada

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Showing results

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Python 2,940 448 Updated Nov 7, 2022

Lime: Explaining the predictions of any machine learning classifier

JavaScript 11,673 1,815 Updated Jul 25, 2024

A game theoretic approach to explain the output of any machine learning model.

Jupyter Notebook 23,116 3,300 Updated Dec 13, 2024

My personal toolkit for PyTorch development.

Python 129 12 Updated Aug 19, 2017

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

Jupyter Notebook 274 108 Updated Jan 16, 2020

DeepWalk - Deep Learning for Graphs

Python 2,694 823 Updated Jun 14, 2023

Multilingual text (NLP) processing toolkit

Python 2,316 337 Updated Nov 10, 2023