cap-ntu / ML-Model-CI
MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
☆192Updated 2 years ago
Alternatives and similar repositories for ML-Model-CI
Users that are interested in ML-Model-CI are comparing it to the libraries listed below
Sorting:
- ☆216Updated last year
- Simple Dynamic Batching Inference☆145Updated 3 years ago
- DeepLearning Framework Performance Profiling Toolkit☆284Updated 3 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- ☆53Updated last year
- Models and examples built with OneFlow☆97Updated 7 months ago
- Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints☆157Updated 6 months ago
- OneFlow models for benchmarking.☆104Updated 9 months ago
- A Survey of AI startups☆400Updated last year
- CS294; AI For Systems and Systems For AI☆224Updated 5 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆294Updated last year
- Running BERT without Padding☆471Updated 3 years ago
- ☆117Updated last year
- alibabacloud-aiacc-demo☆43Updated 2 years ago
- LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training☆403Updated last week
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆406Updated this week
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆157Updated last year
- oneflow documentation☆68Updated 10 months ago
- Place for meetup slides☆140Updated 4 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆439Updated 2 years ago
- pytorch源码阅读 0.2.0 版本☆90Updated 5 years ago
- ☆127Updated 3 years ago
- A Fast Muti-processing BERT-Inference System☆101Updated 2 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆298Updated 3 years ago
- A curated list of awesome Distributed Deep Learning resources.☆421Updated 9 months ago
- Bagua Speeds up PyTorch☆883Updated 9 months ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆168Updated 2 years ago
- To make it easy to benchmark AI accelerators☆183Updated 2 years ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆167Updated 2 years ago
- FastNN provides distributed training examples that use EPL.☆83Updated 3 years ago