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Roshani Nagmote's Projects

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

dynamic-training-with-apache-mxnet-on-aws icon dynamic-training-with-apache-mxnet-on-aws

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flink icon flink

Mirror of Apache Flink - Insight Data Engineering Project (Implemented CountVectorizer)

mpi-operator icon mpi-operator

Kubernetes Operator for Allreduce-style Distributed Training

mxnet icon mxnet

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

onnx icon onnx

Open Neural Network Exchange

onnx-caffe2 icon onnx-caffe2

Caffe2 implementation of Open Neural Network Exchange (ONNX)

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