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Abhishek's Projects

aif360 icon aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

audit-ai icon audit-ai

detect demographic differences in the output of machine learning models or other assessments

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

azure-tdsp-utilities icon azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bootcamp1_example icon bootcamp1_example

Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/ed26b5bf-2781-4a70-a3f2-b29d9b2dca36

botkit-middleware icon botkit-middleware

A middleware to connect Watson Conversation Service to different chat channels using Botkit

caffe icon caffe

Caffe: a fast open framework for deep learning.

cli icon cli

A CLI for Cloud Foundry written in Go

cntk icon cntk

Computational Network Toolkit (CNTK)

cognitive-samples-intelligentkiosk icon cognitive-samples-intelligentkiosk

Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-science-best-practices icon data-science-best-practices

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

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