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V. Rao Research Associates's Projects

keras-resources icon keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

lows icon lows

The Location-based WiFi Services system: A Complete Open Source Solution for Wi-Fi Beacon Stuffing Based Location-based Services

model-optimization icon model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

models icon models

Models and examples built with TensorFlow

moses icon moses

MOSES Machine Learning: "Meta-Optimizing Semantic Evolutionary Search"

mraa icon mraa

Low Level Skeleton Library for IO Communication on GNU/Linux platforms

nd4j icon nd4j

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

neon icon neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

networking icon networking

Enhanced networking support for TensorFlow. Maintained by SIG-networking.

open62541 icon open62541

Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

openbci_python icon openbci_python

The Python software library designed to work with OpenBCI hardware.

opencog icon opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

opencv icon opencv

Open Source Computer Vision Library

openqasm icon openqasm

Gate and operation specification for quantum circuits

opus icon opus

Modern audio compression for the internet.

privacy icon privacy

Library for training machine learning models with privacy for training data

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

protobuf-grammar icon protobuf-grammar

This repository contains grammars for parsing Protocol Buffers's .proto files

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