iboxl's Stars
ucb-bar/cosa
A scheduler for spatial DNN accelerators that generate high-performance schedules in one shot using mixed integer programming (MIP)
Haimrich/lemon
Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming
NVlabs/timeloop
Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
KULeuven-MICAS/zigzag-imc
HW accelerator mapping optimization framework for in-memory computing
maestro-project/gamma
neurosim/DNN_NeuroSim_V1.4
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
ModelTC/lightllm
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
TheBloodthirster/BUAA_Course_Sharing
北京航空航天大学(北航)课程作业资料共享计划
ZhenfengLei/KGDatasets
There‘re experimental data sets over knowledge graph which are all well-known and popular and even comprehensive. We now sort out 9 data sets(WN18, WN18RR,FB15k,FB15k-237,YAGA3-10,Countries,Kinship,Nations,UMLS), and we'll show many more other data if there 's necessary!
merrymercy/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
ucbrise/actnn
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
ganguli-lab/twpca
🕝 Time-warped principal components analysis (twPCA)
wencolani/TransE
An implementation of TransE with tensorflow