BenchCouncil's repositories
BigDataBench_V5.0_BigData_MicroBenchmark
BigDataBench V5.0 BigData MicroBenchmark
BigVectorBench
BigVectorBench advances vector database benchmarking by defining and evaluating the embedding performance of heterogeneous data and abstracting compound queries, which can be multimodal or single-modal with fine-grained restrictions, for real-world applications.
cmlcompiler
A Unified Compiler for Classical Machine Learning
aibench_framework
aibench framework
AIBench_Training_Component
DC AIBench Component
BigDataBench_V5.0_BigData_ComponentBenchmark
BigDataBench V5.0 BigData ComponentBenchmark
IC-2023
IC conference is to provide a pioneering technology map through searching and advancing state-of-the-art and state-of-the-practice in processors, systems, algorithms, and applications for machine learning, deep learning, spiking neural network and other AI techniques across multidisciplinary and interdisciplinary areas.
bench22
Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods and tools. Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation.
aibench_application_benchmark
aibench application benchmark
BigDataBench_V5.0_Graph
BigDataBench V5.0 Graph
BigDataBench_V5.0_Streaming
BigDataBench V5.0 Streaming
DC_AIBench_Micro
DC AIBench Micro
Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation