IBM / FfDLLinks
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
☆692Updated 3 months ago
Alternatives and similar repositories for FfDL
Users that are interested in FfDL are comparing it to the libraries listed below
Sorting:
- A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based system…☆392Updated last year
- Machine Learning Model Deployment Made Simple☆716Updated 7 years ago
- PyTorch on Kubernetes☆309Updated 4 years ago
- A low-latency prediction-serving system☆1,421Updated 4 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 4 years ago
- 👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure☆291Updated 5 years ago
- Automated Machine Learning on Kubernetes☆1,648Updated last week
- Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.☆623Updated 7 years ago
- Information about the Kubeflow community including proposals and governance information.☆181Updated this week
- Multi Model Server is a tool for serving neural net models for inference☆1,025Updated last year
- This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kube…☆818Updated 3 years ago
- Deep Learning Workspace☆204Updated 2 years ago
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,744Updated last year
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- Library for exploring and validating machine learning data☆779Updated 6 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆667Updated 8 months ago
- Model analysis tools for TensorFlow☆1,268Updated 4 months ago
- Input pipeline framework☆990Updated 4 months ago
- Studio: Simplify and expedite model building process☆380Updated last year
- TonY is a framework to natively run deep learning frameworks on Apache Hadoop.☆710Updated 2 years ago
- Deep Learning Benchmarking Suite☆130Updated 2 years ago
- A Tutorial for Serving Tensorflow Models using Kubernetes☆88Updated last month
- 🌄 Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects th…☆372Updated this week
- TFX is an end-to-end platform for deploying production ML pipelines☆2,168Updated this week
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- A CLI for Kubeflow.☆805Updated last week
- General-Purpose Kubernetes Pod Controller☆175Updated 2 years ago
- Repository for assets related to Metadata.☆124Updated 4 years ago
- Distributed AI Model Training and Fine-Tuning on Kubernetes☆1,988Updated this week
- Incubating project for xgboost operator☆77Updated 4 years ago