Pinned Repositories
2017-Basic-Modeling-for-Discrete-Optimization
AISec_XJTU
XJTU-AISec研究小组学习资料
bench_aws
This is the executable version of SeBS benchmark which can be tested on AWS Lambda.
bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
cnblog
Cracking-Verification-Code
Kernel-Security-Papers
lukejyk.github.io
Pipelined-Processor-Design
TOFEL_IELTS_GRE_my-Learning-materials-
托福雅思GRE和GMAT资料，申请文书集合
LukeJYK's Repositories
LukeJYK/lukejyk.github.io
LukeJYK/bench_aws
This is the executable version of SeBS benchmark which can be tested on AWS Lambda.
LukeJYK/cnblog
LukeJYK/SC24_eco-life
ECOLIFE: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
LukeJYK/Kernel-Security-Papers
LukeJYK/mpl-nautilus
LukeJYK/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
LukeJYK/AzurePublicDataset
Microsoft Azure Traces
LukeJYK/carbontracker
Track and predict the energy consumption and carbon footprint of training deep learning models.
LukeJYK/CMU10-714
Learning material for CMU10-714: Deep Learning System
LukeJYK/data
LukeJYK/EECE5643
LukeJYK/flash-attention
Fast and memory-efficient exact attention
LukeJYK/leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
LukeJYK/llama
Inference code for LLaMA models
LukeJYK/LSTM
基于LSTM的时间序列预测研究
LukeJYK/ML4DB-paper-list
Papers for database systems powered by artificial intelligence (machine learning for database)
LukeJYK/mlton
The MLton repository
LukeJYK/mpl
The MaPLe compiler for Parallel ML
LukeJYK/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
LukeJYK/personal-website
LukeJYK/program-analysis-NJU
LukeJYK/RAPL-reader
LukeJYK/schedule
LukeJYK/serverless-benchmarks
SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.
LukeJYK/slab-oob-selinux_xfrm_alloc_user
LukeJYK/Tai-e-assignments
Tai-e assignments for static program analysis
LukeJYK/This-repo-has-1399-stars
这个仓库有1399个star，不信你试试
LukeJYK/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
LukeJYK/vbench_customize