EpicRealmTitle / call-of-duty-modern-warfare-4-fps-optimizer
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.
kylebrown-eng20w4 / Minecraft-FPS-Booster
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.
headroomlabs-ai / headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
hesreallyhim / awesome-claude-code
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC (no affiliation). A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
deepspeedai / DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
kvcache-ai / ktransformers
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
optuna / optuna
A hyperparameter optimization framework
NVIDIA / TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
plasma-umass / scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
zubair-trabzada / geo-seo-claude
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
skypilot-org / skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Netflix / metaflow
Build, Manage and Deploy AI/ML Systems
OpenRLHF / OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
polakowo / vectorbt
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
hyperopt / hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
open-edge-platform / anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
cloud-custodian / cloud-custodian
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
QuipNetwork / xquad
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
NVIDIA / Model-Optimizer
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
jazzband / django-silk
Silky smooth profiling for Django
algorithmicsuperintelligence / optillm
Optimizing inference proxy for LLMs
facebookresearch / nevergrad
A Python toolbox for performing gradient-free optimization
lemony-ai / cascadeflow
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
huggingface / optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
PennyLaneAI / pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
jslee02 / awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
aaron-he-zhu / aaron-marketing-skills
120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8 auditor gates: TALE · CORE-EEAT · CITE · ECHO · SEND · ROAS · STAR · RAMP.
cocoindex-io / cocoindex-code
A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficiency for coding agent 🌟 Star if you like it!
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
PythonOT / POT
POT : Python Optimal Transport
jgravelle / jcodemunch-mcp
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
yolain / ComfyUI-Easy-Use
In order to make it easier to use the ComfyUI, I have made some optimizations and integrations to some commonly used nodes.
vllm-project / production-stack
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
EMI-Group / evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
alexgreensh / token-optimizer
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Pyomo / pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
skfolio / skfolio
Python library for portfolio optimization built on top of scikit-learn
AgriciDaniel / claude-blog
Claude Code blog skill suite: 30 sub-skills, 5 agents, 5-gate v1.9.0 Blog Delivery Contract, dual-optimized for Google rankings and AI citations. Active development at AI-Marketing-Hub/claude-blog (AI Marketing Hub Pro community); public releases ship here.
microsoft / Olive
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
google-deepmind / optax
Optax is a gradient processing and optimization library for JAX.
neonwatty / machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
ahmedfgad / GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
hystax / optscale
FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.
Thinklab-SJTU / awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
aws / aws-eks-best-practices
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
cvxpy / cvxpylayers
Differentiable convex optimization layers
syv-ai / HyperQwen
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
cfregly / ai-performance-engineering
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
ovg-project / kvcached
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
uselotus / lotus
Open Source Pricing & Packaging Infrastructure
Akkudoktor-EOS / EOS
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
pypose / pypose
A library for differentiable robotics on manifolds.
WecoAI / aideml
AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.