marcoszh

BatchCrypt

MArk-Project

Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving

citadel-project

pyFP-growth

pure python implemention of fp-growth algorith for assosiation minning/

marcoszh.github.io

pages

benchmark

Large scale query engine benchmark

bert

TensorFlow code and pre-trained models for BERT

chainlit

Build Python LLM apps in minutes ⚡️

cuKmeans

A kmeans implemention using CUDA

FATE

An Industrial Level Federated Learning Framework

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

flink-benchmarks

gfw_whitelist

gfw_whitelist

github-dag

github-spark-1.6-dag

lambda-packs

Precompiled packages for AWS Lambda

mxnet

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

OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

PyApriori

Apriori algorithm for assosiation minning implemented in pure python.

researchgpt

An open-source LLM based research assistant that allows you to have a conversation with a research paper

serving

A flexible, high-performance serving system for machine learning models

spark

Mirror of Apache Spark

spark-bench

streaming-benchmarks

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

tbd-tools

tensorflow-serving-gatling-extension

A project to stress test tensorflow-serving using gatling

tensorflow_to_lambda_serverless

Serve tensorflow models prediction from AWS lambda endpoints

tpcds

TPC-DS benchmarks including data generation with Spark and queries with Spark

trace-analysis

Scripts to analyze Spark's performance