DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Lightweight desktop tool for Call of Duty: Modern Warfare 4. Smart FPS optimization, performance tuning, process management and real-time monitoring. Designed to improve frame rates and stability. Regularly updated.
Powerful CS2 FPS optimizer that boosts frame rate, reduces lag and optimizes system settings. One-click performance profiles, clean interface, fully configurable for Counter-Strike 2.
Rust-based FPS optimizer for games: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets. Lightweight, reversible, open-source performance tool for Windows.
Fortnite FPS Booster: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets for Fortnite on Windows. Lightweight, reversible, open-source performance optimizer.
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.
Powerful Minecraft FPS booster and performance optimization mod. Dramatically increases frames, reduces lag, and optimizes rendering for 1.20–1.21. Forge & Fabric support, clean modular structure.
High-performance Minecraft client module with smooth tracking, adaptive auto-aim, and modular configuration. Clean source, easy setup, fully open structure for 1.20–1.21.
Scientific rover built through SolidCraft MCP: editable CAD, website and splash artwork, videos, and a reproducible performance workload.
TEIN AI: the final glossy facial-performance mask workflow, with animated examples and reproducible setup.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Developer-first error tracking and performance monitoring
SGLang is a high-performance serving framework for large language models and multimodal models.
Write scalable load tests in plain Python 🚗💨
Saleor Core: the high performance, composable, headless commerce API.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.14. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Open Machine Learning Compiler Framework
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
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Build, Manage and Deploy AI/ML Systems
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.
Open Source HR and Payroll Software
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
A fast PostgreSQL Database Client Library for Python/asyncio.
🚴 Call stack profiler for Python. Shows you why your code is slow!
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
🔧 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.
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Transparent and Efficient Financial Analysis
Silky smooth profiling for Django
Achieve state of the art inference performance with modern accelerators on Kubernetes
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Modern YouTube downloader with a clean PySide6 interface. Download videos in any quality, extract audio, fetch subtitles, sponsorBlock, and view video metadata. Built with yt-dlp for reliable performance.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
A simple, high-quality voice conversion tool focused on ease of use and performance.
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
A high-performance distributed training framework for Reinforcement Learning
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
A high-performance ASCII video rendering engine featuring real-time WebSocket binary streaming and an isolated compiler for serverless static generation. Built for low-latency 30 FPS playback on HTML5 Canvas.
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
Load and performance benchmark tool
ASC is a super FAST and lightweight Android decompiler designed for Agents/Mobile Researchers.
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
an unhealthy amount of work has been put into this...star it?
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.