triton-inference-server / fil_backendLinks
FIL backend for the Triton Inference Server
☆81Updated last week
Alternatives and similar repositories for fil_backend
Users that are interested in fil_backend are comparing it to the libraries listed below
Sorting:
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆210Updated 3 months ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆94Updated last year
- Distributed XGBoost on Ray☆149Updated last year
- The Triton backend for the ONNX Runtime.☆156Updated this week
- The Triton backend for the PyTorch TorchScript models.☆158Updated this week
- Provide Python access to the NVML library for GPU diagnostics☆243Updated 8 months ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆483Updated this week
- RAPIDS GPU-BDB☆108Updated last year
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆381Updated this week
- Ray - A curated list of resources: https://github.com/ray-project/ray☆66Updated last month
- Introduction to Ray Core Design Patterns and APIs.☆71Updated last year
- The Triton backend for TensorFlow.☆52Updated last month
- Easy converter pandas -> tfrecords & tfrecords -> pandas☆38Updated 2 years ago
- Home for OctoML PyTorch Profiler☆113Updated 2 years ago
- Python bindings for UCX☆137Updated this week
- The core library and APIs implementing the Triton Inference Server.☆145Updated last week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆158Updated last month
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated last year
- Common source, scripts and utilities for creating Triton backends.☆337Updated this week
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆118Updated last week
- Python client for RedisAI☆89Updated 2 years ago
- Utilities for Dask and CUDA interactions☆311Updated last week
- Incubating project for xgboost operator☆77Updated 3 years ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Plugin for deploying MLflow models to TorchServe☆111Updated 2 years ago
- Unified storage framework for the entire machine learning lifecycle☆156Updated last year
- ClearML - Model-Serving Orchestration and Repository Solution☆152Updated 2 weeks ago
- A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.☆160Updated 2 weeks ago
- Productionize machine learning predictions, with ONNX or without☆65Updated last year
- Dockerfile templates for creating RAPIDS Docker Images☆80Updated this week