Chaitanya Prakash Bapat's Projects
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.
Study of Algorithms in the world of Computer Science
:globe_with_meridians: Repository which contains all the links and resources on different topics of Computer Science
Declarative statistical visualization library for Python
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Experiment with Apache Parquet and Apache Avro
Public repo for issues & feature-requests relating to archivers.space
A curated list of awesome Deep Learning tutorials, projects and communities.
:sunglasses: Libraries that are being shown in Sourcerer profiles.
A curated list of MXNet examples, tutorials and blogs.
AWS Toolkit for JetBrains - a plugin for interacting with AWS from JetBrains IDEs
Homepage for STAT 157 at UC Berkeley
notes about books I read
Website for a Pharma product business, intended to View, Purchase, Order a range of Pharmaceutical Products
Visualizing Airplane data
Command line tools for designing certificate templates and instantiating a certificate batch
Repository for Github Profile info
Chaitanya Bapat's Personal Website
Collective Knowledge framework helps to organize local code, data and scripts; convert them into portable, customizable and reusable components with a Python JSON API and integrated package manager; quickly prototype research workflows on Linux, Windows, MacOS and Android; automate & crowsource complex experiments; generate interative papers, etc:
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
The 3rd edition of course.fast.ai
Dive into Deep Learning
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Any and every resource, book, site found
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Natural language processing & computer vision models optimized for AWS