optimization

64 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for…

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by…

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Optimizing inference proxy for LLMs

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with…

LichtFeld-Studio

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and…

Model-rocketry aerodynamics and trajectory simulation software

awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization…

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

TEASER-plusplus

A fast and robust point cloud registration library

Optax is a gradient processing and optimization library for JAX.

GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning…

The Operator Splitting QP Solver

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google…

Building blocks for rapid development of GenAI applications

Fast symbolic computation, code generation, and nonlinear optimization for robotics

A library for differentiable robotics on manifolds.

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

MLBox is a powerful Automated Machine Learning python library.

awesome-robotics

A curated list of awesome links and software libraries that are useful for robots.

BeautifulAlgorithms.jl

Concise and beautiful algorithms written in Julia

Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control

Aircraft design optimization made fast through computational graph transformations (e.g., automatic…

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient…

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)

3D face swapping implemented in Python

End-to-end Generative Optimization for AI Agents

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率…

mpc-reinforcement-learning

Reinforcement Learning with Model Predictive Control

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based…

MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]

Trajectory Planner in Multi-Agent and Dynamic Environments

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

LLM agents as your hyperparameter optimizer.

photometric_optimization

Photometric optimization code for creating the FLAME texture space and other applications

The Advanced Proximal Optimization Toolbox

🔥🔥🔥 ICLR 2025 Oral. Automating Agentic Workflow Generation.

A general and flexible factor graph non-linear least square optimization framework

Quadruped-PyMPC

A model predictive controller for quadruped robots based on the single rigid body model and written in…

Environments for OR and RL Research

Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

AI Assistant that reduces the size of your application's Docker Image

Awesome-LLM-Prompt-Optimization

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large…

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

ComponentArrays.jl

Arrays with arbitrarily nested named components.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process…

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache…

Sequential Convex Programming Toolbox for nonconvex trajectory optimization.

wb_humanoid_mpc

Whole-Body Nonlinear MPC for Realtime Humanoid Loco-Manipulation Planning and Control

robotics_master

Online Robotics Master

[RA-Letter 2023] RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered…

Efficient Task Space Inverse Dynamics (TSID) based on Pinocchio

model-based-diffusion

Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based…

optimize-ai-agent-memory

9 Different Ways to Optimize AI Agent Memories

An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing

Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!

onshape-robotics-toolkit

A python library to facilitate interaction with Onshape's REST API

The "Economy Mode" for AI Compute

★ 56 · GitHub ↗

🔗 Familias relacionadas

control 42 motion-planning 58 slam 111 hyperparameter-optimization 21 distributed 31 automl 39 agentic-workflow 79 quantization 51

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.