Popular GitHub Repositories for Cost Efficiency

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

??Maximize your efficiency and productivity, support for English,中文,Espa?ol,???????. 让生产力加倍的AI快捷指令。更有效地定制、保存和分享自己的提示词。在提示词分享社区中，轻松找到适用于不同场景的指令。

Supercharge Your Model Training

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

?? Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

This is a collection of our NAS and Vision Transformer work.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen? and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions