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bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

build-a-news-aggregator-with-django

c-threadingexamples

cclabel

Python implementation of connected component labeling

characterising-resource-usage-for-rnn

cmakeexample

concurrent-map

a thread-safe concurrent map for go

cs220-projects

CS220 projects and tests

cs301-projects

Location for CS301 Project Scaffolding and Tests

distributed_system

dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。

font_style

guest_house_management_system

hello-world

first repository

hiecoattenvqa

hydro-serving-kubeflow-demo

HydroServing + Kubeflow + Argo

imllib-spark

kfserving

Serverless Inferencing on Kubernetes

lebench

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

makeexample

merge-for-pr

Tutorial for merge-for-pr

mininet

Emulator for rapid prototyping of Software Defined Networks

mininet_backup

mlos

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.

mqsim

MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)

myproject

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

odl

os

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