zzylol
CS Ph.D. student at University of Maryland, College Park
University of Maryland, College ParkBoston
zzylol's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
OpenZeppelin/openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
timescale/timescaledb
A time-series database for high-performance real-time analytics packaged as a Postgres extension
ctjhoa/rust-learning
A bunch of links to blog posts, articles, videos, etc for learning Rust
scylladb/seastar
High performance server-side application framework
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
apache/iotdb
Apache IoTDB
sb2nov/resume
Software developer resume in Latex
traceloop/openllmetry
Open-source observability for your LLM application, based on OpenTelemetry
VictoriaMetrics/fastcache
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
timescale/tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
netsniff-ng/netsniff-ng
A Swiss army knife for your daily Linux network plumbing.
SnellerInc/sneller
World's fastest log analysis: λ + SQL + JSON + S3
feifeibear/LLMSpeculativeSampling
Fast inference from large lauguage models via speculative decoding
OneOfOne/xxhash
A native implementation of the excellent XXHash hashing algorithm.
enriquebris/goconcurrentqueue
Go concurrent-safe, goroutine-safe, thread-safe queue
cli99/llm-analysis
Latency and Memory Analysis of Transformer Models for Training and Inference
harsha-simhadri/big-ann-benchmarks
Framework for evaluating ANNS algorithms on billion scale datasets.
Nicoshev/rapidhash
Very fast, high quality, platform-independent hashing algorithm.
chenxiaoqino/udp-image-streaming
Compress and stream live images over UDP protocol with OpenCV
uccmisl/5Gdataset
In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.
mit-dci/zkledger
Privacy-preserving auditing for distributed ledgers
rozbb/zkcreds-rs
pag-crypto/zkmbs
Code for zero-knowledge middleboxes
smallnest/hash-bench
go hash benchmark
SadeghKrmi/5G-Trace-Analyzer
5G Sequence Analyzer
Qcloud1223/ics-ld-public
Course project for Introduction to Computer Systems at XJTU: A basic x86-64 static linker.
FTFX/P4Docker
Perforce Helix Core server in a Docker container.
SparkWorksnet/demoFlink
IoT data stream processing example using Apache Flink and RabbitMQ
lxc656/CMU10-714
Learning material for CMU10-714: Deep Learning System