Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Ray	29,596	80	363	7 months ago	95	December 04, 2023	3,528	apache-2.0	Python
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.
Bytetrack	3,706			a year ago			258	mit	Python
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Mmdeploy	2,371		2	7 months ago	6	September 22, 2023	255	apache-2.0	Python
OpenMMLab Model Deployment Framework
Inference	1,584		3	7 months ago	35	December 08, 2023	139	apache-2.0	Python
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Yolort	705			6 months ago			41	gpl-3.0	Python
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
Runhouse	667			7 months ago			38	apache-2.0	Python
Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.
Fedscale	347			9 months ago	1	July 18, 2022	41	apache-2.0	Python
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Ml_sagemaker_studies	340			2 years ago				mit	Jupyter Notebook
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Cartoonify	313			a year ago			3	mit	Jupyter Notebook
Deploy and scale serverless machine learning app - in 4 steps.
Post Tuto Deployment	269			5 years ago			2	mit	Python
Build and deploy a machine learning app from scratch 🚀

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Select To Compare

Ray ⭐ 29,596

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.

dependent packages 363total releases 95most recent commit 7 months ago

Bytetrack ⭐ 3,706

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

most recent commit a year ago

Mmdeploy ⭐ 2,371

OpenMMLab Model Deployment Framework

dependent packages 2total releases 6most recent commit 7 months ago

Inference ⭐ 1,584

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

dependent packages 3total releases 35most recent commit 7 months ago

Yolort ⭐ 705

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

most recent commit 6 months ago

Runhouse ⭐ 667

Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.

most recent commit 7 months ago

Fedscale ⭐ 347

FedScale is a scalable and extensible open-source federated learning (FL) platform.

total releases 1most recent commit 9 months ago

Ml_sagemaker_studies ⭐ 340

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

most recent commit 2 years ago

Cartoonify ⭐ 313

Deploy and scale serverless machine learning app - in 4 steps.

most recent commit a year ago

Post Tuto Deployment ⭐ 269

Build and deploy a machine learning app from scratch 🚀

most recent commit 5 years ago

Suggest An Alternative To torchlambda

Alternative Project Comparisons

Torchlambda vs Ray

Torchlambda vs Bytetrack

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Torchlambda vs Inference

Torchlambda vs Yolort

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Torchlambda vs Ml_sagemaker_studies

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Torchlambda vs Post Tuto Deployment

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