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Jayati Jain's Projects

accelerated-data-science icon accelerated-data-science

ADS offers a friendly user interface, with objects and methods that cover all the steps involved in the lifecycle of machine learning models, from data acquisition to model evaluation and interpretation. Requires: Python >= 3.7, < 3.10

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

common icon common

Common utilities library containing metrics, config and utils

covid-vaccine-booking icon covid-vaccine-booking

This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

fastai icon fastai

The fastai deep learning library, plus lessons and tutorials

homebrew-core icon homebrew-core

🍻 Default formulae for the missing package manager for macOS

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

modal icon modal

A modular active learning framework for Python

oci-data-science-ai-samples icon oci-data-science-ai-samples

This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.

simdial icon simdial

Synthetic task-oriented dialog generator with controllable complexity. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

spark icon spark

Apache Spark - A unified analytics engine for large-scale data processing

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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