Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
-
Updated
Jun 13, 2024 - Python
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Fast and Accurate ML in 3 Lines of Code
A SapientML plugin of SapientMLGenerator
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Merlion: A Machine Learning Framework for Time Series Intelligence
A Framework to streamline the research of seq2seq models
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
30 Semi-Supervised Learning Algorithms
Python automated machine learning framework.
Automated Machine Learning on Kubernetes
A framework for large scale recommendation algorithms.
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,支持sso登录,多租户,大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU,边缘计算,serverless,标注平台,自动化标注,数据集管理,大模型微调,vllm大模型推理,llmops,私有知识库,AI模型应用商店,支持模型一键开发/推理/微调,支持国产cpu/gpu/npu芯片,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
Add a description, image, and links to the automl topic page so that developers can more easily learn about it.
To associate your repository with the automl topic, visit your repo's landing page and select "manage topics."