Sandeep Krishnamurthy (sandeep-krishnamurthy)

sandeep-krishnamurthy

Geek Repo

Company:DataBricks / MosaicML

Location:San Francisco

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Sandeep Krishnamurthy's repositories

oreilly-mxnet-workshop

Lab resources for Oreilly online Apache MXNet workshop

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dl-operator-benchmark

Framework for benchmarking deep learning operators for Apache MXNet

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cpp_from_scratch

My repo for learning CPP from scratch

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mxnet-gluon-gan

Highly scalable Apache MXNet based implementation of various Generative Adversarial Networks.

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mxnet-profiler-demo

Repo to demo MXNet profiler and few additional utilities to easily digest the profiler output

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tech-interview-handbook

đź’Ż Algorithms study materials, behavioral content and tips for rocking your coding interview

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website-link-checker

Utility to check broken links in your website.

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

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deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

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gluon-crash-course

A 60min Gluon crash course

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imgaug

Image augmentation for machine learning experiments.

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insightface

Face Analysis Project on MXNet and PyTorch

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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mlcrate

A python module of handy tools and functions, mainly for ML and Kaggle

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mxnet-end-to-end-models

Examples and test scripts for MXNet end to end models

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my-reading-list

Things I want to read and I have read...

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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numpy-ml

Machine learning, in numpy

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pipeline

PipelineAI: Real-Time Enterprise AI Platform

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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system_design

Preparation links and resources for system design questions

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