triton-inference-server / hugectr_backendLinks
☆53Updated last year
Alternatives and similar repositories for hugectr_backend
Users that are interested in hugectr_backend are comparing it to the libraries listed below
Sorting:
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆158Updated last year
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆146Updated last week
- A lightweight parameter server interface☆76Updated 2 years ago
- OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.☆32Updated 2 years ago
- A high-performance serving system for DeepRec based on TensorFlow Serving.☆18Updated last year
- ☆127Updated 3 years ago
- Enhanced networking support for TensorFlow. Maintained by SIG-networking.☆98Updated 3 years ago
- distributed-embeddings is a library for building large embedding based models in Tensorflow 2.☆44Updated last year
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- ☆217Updated last year
- A Fast Muti-processing BERT-Inference System☆101Updated 2 years ago
- TensorFlow and TVM integration☆37Updated 5 years ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆169Updated 2 years ago
- oneflow documentation☆69Updated 11 months ago
- A stand alone industrial serving system for angel.☆62Updated 3 years ago
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆94Updated 2 years ago
- Fault-tolerant for DL frameworks☆70Updated last year
- Runtime Tracing Library for TensorFlow☆43Updated 6 years ago
- DeepLearning Framework Performance Profiling Toolkit☆285Updated 3 years ago
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆163Updated 4 months ago
- The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes☆44Updated 3 years ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆168Updated 2 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆54Updated 2 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆407Updated this week
- FastNN provides distributed training examples that use EPL.☆83Updated 3 years ago
- OneFlow models for benchmarking.☆104Updated 9 months ago
- A distributed logistic regression system based on ps-lite.☆45Updated 8 years ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆327Updated this week
- ☆58Updated 4 years ago
- GPU-scheduler-for-deep-learning☆205Updated 4 years ago