rai-project / mlmodelscope
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
☆50Updated 5 months ago
Alternatives and similar repositories for mlmodelscope:
Users that are interested in mlmodelscope are comparing it to the libraries listed below
- Reference workloads for modern deep learning methods.☆73Updated 2 years ago
- A Deep Learning Meta-Framework and HPC Benchmarking Library☆81Updated 2 years ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆38Updated 4 years ago
- Issues related to MLPerf™ training policies, including rules and suggested changes☆94Updated 2 months ago
- Deep Learning Benchmarking Suite☆130Updated 2 years ago
- This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.☆35Updated last year
- ☆47Updated 2 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- Python bindings for NVTX☆66Updated last year
- An analytical performance modeling tool for deep neural networks.☆88Updated 4 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated last year
- oneCCL Bindings for Pytorch*☆87Updated 3 weeks ago
- ☆23Updated 5 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆55Updated 3 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆64Updated 6 years ago
- This repository contains the results and code for the MLPerf™ Training v0.6 benchmark.☆42Updated last year
- System for automated integration of deep learning backends.☆48Updated 2 years ago
- npcomp - An aspirational MLIR based numpy compiler☆51Updated 4 years ago
- Issues related to MLPerf™ Inference policies, including rules and suggested changes☆58Updated this week
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 6 years ago
- Repository for SysML19 Artifacts Evaluation☆53Updated 5 years ago
- Implementation of vDNN++; an improvement over vDNN☆16Updated 6 years ago
- Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learn…☆109Updated 2 years ago
- A CUDA implementation of the PageRank Pipeline Benchmark☆32Updated 8 years ago
- Chai☆42Updated last year
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆56Updated last year
- GVProf: A Value Profiler for GPU-based Clusters☆48Updated 10 months ago
- Fine-grained GPU sharing primitives☆140Updated 4 years ago
- An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluations☆16Updated 4 years ago
- GPU-specialized parameter server for GPU machine learning.☆100Updated 6 years ago