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.
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)
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
Optimize React performance and make your React 70% faster in minutes, not months.
Mesh optimization library that makes meshes smaller and faster to render
🚀 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
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.
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
OSX Optimizer: Optimize MacOS - Shell scripts to speed up your mac boot time, accelerate loading, and prevent unnecessary throttling.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Completely reworked and improved C++ version of Advanced Locomotion System V4.
Astro integration that automatically get typed links to your pages.
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
A solver to find a solution of the 2D rectangle packing problem by simulated annealing (SA) optimization.
Extract and visualize information from Gurobi log files
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Reinforcement Learning with Model Predictive Control
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
Fastest event emitter in the world for js (and only 381 bytes in build)
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
Xiao's CUDA Optimization Guide [Active Adding New Contents]
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
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
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
Optimize React performance and make your React 70% faster in minutes, not months.
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
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-c...
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
Generalized Splines for Motion Optimization in C++ and python3
Reinforcement Learning with Model Predictive Control
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
Generalized Splines for Motion Optimization in C++ and python3
Astro integration that automatically get typed links to your pages.
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...
🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.
A tiny and header-only C++ library aiming to be the fastest linear SVM solver.
Reinforcement Learning with Model Predictive Control
CoolRune is a Meta-Distribution of Artix Linux with enhanced performance and privacy.
Opensource Python project for cancer radiation treatment planning [AAPM'23]
Solve vehicle routing problems with Google Maps Platform Route Optimization
Yet Another Linear Programming Solver. (A rewrite of javascript-lp-solver.) Aims to be decently fast.
Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resourc...
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
Optimize React performance and make your React 70% faster in minutes, not months.
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)
Mesh optimization library that makes meshes smaller and faster to render
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
A Python implementation of global optimization with gaussian processes.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
miniRT is the final C project of the 42 Common Core: our very first ray-tracer. Our miniRT focused on optimising CPU-rendered graphics, to achieve a real-time renderer with movement controls and extra...
Generalized Splines for Motion Optimization in C++ and python3
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 comprehensive systems programming toolkit implementing low-level concepts in C, from memory management to OS internals. Features practical implementations of computer architecture concepts with a fo...
Solving scheduling problems with constraint programming in Python.
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
CoolRune is a Meta-Distribution of Artix Linux with enhanced performance and privacy.
🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.
A shell script for optimizing a MacBook with an Intel processor. The script includes a series of commands that make changes to settings to improve performance
Reinforcement Learning with Model Predictive Control
A powerfull websites compiler/obfuscator for optimization or intellectual property protection purposes.
All Tweaker — это утилита для тонкой настройки операционной системы, которая позволяет изменять определённые параметры для оптимизации.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Dockershrink is an Open Source, AI-powered tool to reduce the size of your Docker Images
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
[NeurIPS 2024] BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
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).
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...
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...
Sparo optimizes performance of Git operations for your large frontend monorepo.
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt.
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)
Optimize React performance and make your React 70% faster in minutes, not months.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
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!!
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
A Python implementation of global optimization with gaussian processes.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
A Python-embedded modeling language for convex optimization problems.
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
Efficient modeling interface for mathematical optimization in Python
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Generalized Splines for Motion Optimization in C++ and python3
Solving scheduling problems with constraint programming in Python.
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
A collaborative effort to consolidate expert knowledge on code guidelines for the correctness, modernization, and optimization of code written in C, C++, and Fortran programming languages
🖨 An optimizing compiler for a Lisp variant. Compiles and executes byte code in a VM. Can also output JavaScript.
A shell script for optimizing a MacBook with an Intel processor. The script includes a series of commands that make changes to settings to improve performance
Reinforcement Learning with Model Predictive Control
HoneCTRL is a free and open source desktop utility that aims to improve FPS, reduce input lag, and optimize network performance for video game titles and day-to-day productivity.
This repository will assist you in optimizing a mobile game in unity.
