Trending repositories for topic optimization
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory des...
:sunglasses: A curated list of robotics libraries and software
Mesh optimization library that makes meshes smaller and faster to render
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
Optimize React performance and make your React 70% faster in minutes, not months.
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Open Source Tweaker made to improve system performance and lower system latency.
Optimizes System and Kernel parameters to reduce power consumption
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Implementation of data mining methods that use evolutionary algorithms
A dependency free library of standardized optimization test functions written in pure Python.
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
AI-powered resume optimization using CrewAI. Analyzes job postings, scores resume matches, and provides tailored improvements with multiple AI agents. Built for job seekers to maximize their applicati...
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
A library for using direct collocation in the optimization of dynamic systems.
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
ROS stack with an efficient real-time NMPC for the Crazyflie 2.1
Open Source Tweaker made to improve system performance and lower system latency.
A general and flexible factor graph non-linear least square optimization framework
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Optimize React performance and make your React 70% faster in minutes, not months.
Mesh optimization library that makes meshes smaller and faster to render
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
:sunglasses: A curated list of robotics libraries and software
A Python implementation of global optimization with gaussian processes.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A curated list of awesome links and software libraries that are useful for robots.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory des...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Optimizes System and Kernel parameters to reduce power consumption
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
pumpfun copy trading bot, grpc streaming subscribe bonding curve
A PowerShell script to automate the debloating process for Windows ISO images.
Whole-Body Nonlinear MPC for Realtime Humanoid Loco-Manipulation Planning and Control
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]
UE5 runtime mesh process functions such as generate static mesh from buffers, get vertices, move pivot, delete empty roots and parents, rename objects, create objects with name and etc.
Implementation of data mining methods that use evolutionary algorithms
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Reinforcement Learning with Model Predictive Control
A dependency free library of standardized optimization test functions written in pure Python.
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Regenerated a state-of-the-art meta-heuristic algorithm for the UAV path planning problem, proposed by Qu, Gai, and Zhong.
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Represent trained machine learning models as Pyomo optimization formulations
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
An implementation strategy for lists, queues, deque(ue)s.
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
An implementation strategy for lists, queues, deque(ue)s.
Mesh optimization library that makes meshes smaller and faster to render
Optimize React performance and make your React 70% faster in minutes, not months.
A Python implementation of global optimization with gaussian processes.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A Python-embedded modeling language for convex optimization problems.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
:sunglasses: A curated list of robotics libraries and software
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
pumpfun copy trading bot, grpc streaming subscribe bonding curve
[AAAI 2025] ORQA is a new QA benchmark designed to assess the reasoning capabilities of LLMs in a specialized technical domain of Operations Research. The benchmark evaluates whether LLMs can emulate ...
Implementation of data mining methods that use evolutionary algorithms
Whole-Body Nonlinear MPC for Realtime Humanoid Loco-Manipulation Planning and Control
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]
Comprehensive optical design, optimization, and analysis in Python.
Optimizes System and Kernel parameters to reduce power consumption
Use a hybrid solver to use the minimum number of bins to pack items with different dimensions
The Emerging Solutions Toolbox is a collection of solutions created by Snowflake's Solution Innovation Team (SIT) that consists of demos, helpers, and frameworks to help you get the most out of Snowfl...
A PowerShell script to automate the debloating process for Windows ISO images.
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...
OptiPie is an open source strategy optimizer automation tool for TradingView written in js.
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
opensecurity: open-source security and compliance. See and secure your cloud, containers, code, networks, deployments, devices. Define your rules, get precise checks, fix gaps fast. Streamlined audits...
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
Dockershrink is an AI Assistant that reduces the size of your application's Docker Image
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
A python library to facilitate interaction with Onshape's REST API
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynam...
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt.
A powerfull websites compiler/obfuscator for optimization or intellectual property protection purposes.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Optimize React performance and make your React 70% faster in minutes, not months.
Mesh optimization library that makes meshes smaller and faster to render
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A Python implementation of global optimization with gaussian processes.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
A Python-embedded modeling language for convex optimization problems.
opensecurity: open-source security and compliance. See and secure your cloud, containers, code, networks, deployments, devices. Define your rules, get precise checks, fix gaps fast. Streamlined audits...
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
All-in-one Java-based Windows repair and maintenance toolkit.
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Sparo optimizes performance of Git operations for your large frontend monorepo.
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Comprehensive optical design, optimization, and analysis in Python.
AI-powered resume optimization using CrewAI. Analyzes job postings, scores resume matches, and provides tailored improvements with multiple AI agents. Built for job seekers to maximize their applicati...
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Stochastic Testing and Input Manipulation for Unbiased Learning Systems
