tgamal

4ceedframework

Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments

4ceedjupyter

bracelet-lite

Lite version of BRACELET, connecting scientific instruments running on old operating systems to 4CeeD cloud

fbpcf

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.

fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

grpc-java

The Java gRPC implementation. HTTP/2 based RPC

http-api-design

HTTP API design guide extracted from work on the Heroku Platform API

incubator-systemml

Mirror of Apache SystemML (Incubating)

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

SGX-hardware

This is a list of hardware which is supports Intel SGX - Software Guard Extensions.

tgamal/4ceedframework

Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments

tgamal/4ceedjupyter

tgamal/bracelet-lite

Lite version of BRACELET, connecting scientific instruments running on old operating systems to 4CeeD cloud

tgamal/fbpcf

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.

tgamal/fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

tgamal/grpc-java

The Java gRPC implementation. HTTP/2 based RPC

tgamal/http-api-design

HTTP API design guide extracted from work on the Heroku Platform API

tgamal/incubator-systemml

Mirror of Apache SystemML (Incubating)

tgamal/neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

tgamal/SGX-hardware

This is a list of hardware which is supports Intel SGX - Software Guard Extensions.

tgamal/sPCA

Scalable PCA (sPCA) is a scalable implementation of Principal component analysis algorithm on top of Spark

tgamal/tensorflow

Computation using data flow graphs for scalable machine learning

tgamal/tensorflow-runtime-metadata-visualization

TensorFlow Runtime Tracing Metadata Visualization