SGLang is a high-performance serving framework for large language models and multimodal models.
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2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
- database
- edgedb
- high-performance
- edgeql
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
- python
- profiling
- performance-analysis
- cpu-profiling
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A fast PostgreSQL Database Client Library for Python/asyncio.
- postgresql
- python
- python-3
- asyncio
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
- python
- cloud-management
- configuration-management
- remote-execution
High-performance TensorFlow library for quantitative finance.
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
- opencv
- multithreading
- python
- video-processing
High-performance Valorant aimbot with adaptive smooth tracking and precise auto aim. Fully configurable, low detection risk design, clean modular structure. Easy setup for current patch.
Ultra-fast websocket client and server for asyncio
- asyncio
- python
- websocket
- websocket-client
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.