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Aleksey Vlasenko's Projects

criteo icon criteo

Tensorflow Distributed training sample for Criteo dataset on GCP using BigQuery reader

criteo_nbdev icon criteo_nbdev

Distributed training for Criteo dataset using BigQuery reader

deepspeed icon deepspeed

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

ecosystem icon ecosystem

Integration of TensorFlow with other open-source frameworks

gcp_runner icon gcp_runner

Running nbdev projects on Google Cloud Platform

gcsfs icon gcsfs

Pythonic file-system interface for Google Cloud Storage

ghz icon ghz

Simple gRPC benchmarking and load testing tool

graph_def_editor icon graph_def_editor

GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs

io icon io

Datasets and filesystem extensions maintained by SIG-IO

micrograd icon micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

models icon models

Models and examples built with TensorFlow

monotorrent icon monotorrent

The official repository for MonoTorrent, a bittorrent library for .NET

onnxruntime icon onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

petastorm icon petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

tfgraphviz icon tfgraphviz

A visualization tool to show a TensorFlow's graph like TensorBoard

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