#cplusplus #python #c_plus_plus #performance #monitoring #cross_platform #cpp #profiler #optimization #logging #python3 #developer_tools #performance_analysis #memory_profiler #profiling #memory_consumption #performance_optimization

https://github.com/dfeneyrou/palanteer

#julia #machine_learning #sorting #algorithms #optimization #quine

https://github.com/mossr/BeautifulAlgorithms.jl

#jupyter_notebook #3d_face_reconstruction #deep_learning #face_reconstruction #morphable_model #optimization #pytorch #reflectance_from_image #shape_from_image #spherical_harmonics

https://github.com/abdallahdib/NextFace

#swift #aarch64 #apple_silicon #augmented_reality #awesome_list #bottles #cocoapods #computer_architecture #darwin #dxvk #m1 #macos_app #macos_apps #macos_security #macos_setup #metal #optimization #profiling #swiftui #wine #wireguard

https://github.com/mikeroyal/Apple-Silicon-Guide

#java #cpu #deep_learning #docker #gpu #kubernetes #machine_learning #metrics #mlops #optimization #pytorch #serving

https://github.com/pytorch/serve

#python #deep_reinforcement_learning #gym #hyperparameter_optimization #hyperparameter_search #hyperparameter_tuning #lab #openai #optimization #pybullet #pybullet_environments #pytorch #reinforcement_learning #rl #robotics #sde #stable_baselines #tuning_hyperparameters

https://github.com/DLR-RM/rl-baselines3-zoo

#python #graphcore #habana #inference #intel #onnx #onnxruntime #optimization #pytorch #quantization #tflite #training #transformers

https://github.com/huggingface/optimum

#csharp #22h2 #debloat #debloater #debloating #gui #insider #insiders #optimization #sophia #sophiapp #tweaker #tweaking #windows #windows_10 #windows_debloat #windows11

https://github.com/Sophia-Community/SophiApp

#python #agents #document_search #evaluation #guardrails #llms #optimization #prompts #rag #vector_stores

Ragbits is a tool that helps build and deploy GenAI applications quickly. It offers features like swapping between many language models, ensuring safe interactions with these models, and connecting to various data storage systems. Ragbits also includes tools for managing data and testing prompts, making it easier to develop reliable AI applications. This helps users create more accurate and efficient AI systems by integrating the latest data and reducing errors. Overall, Ragbits makes it faster and more efficient to develop and deploy AI applications.

https://github.com/deepsense-ai/ragbits

#python #ant_colony_algorithm #artificial_intelligence #fish_swarms #genetic_algorithm #heuristic_algorithms #immune #immune_algorithm #optimization #particle_swarm_optimization #pso #simulated_annealing #travelling_salesman_problem #tsp

You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.

https://github.com/guofei9987/scikit-opt