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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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
TranslatedHealthy learning until age 150 - An incomplete guide to tuning the human system
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
Optimizing compiler for React
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Thoughts on Go performance optimization
A curated list of Web Performance Optimization.
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
:sunglasses: A curated list of robotics libraries and software
TranslatedAndroid performance optimization tutorials, videos and tools list(Android performance optimization videos, documents and tools)
A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Machine Learning in R
A curated list of awesome links and software libraries that are useful for robots.
A research toolkit for particle swarm optimization in Python
A Free and Open Source Python Library for Multiobjective Optimization
Glide Bitmap Pool is a memory management library for reusing the bitmap memory
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
🎯 A comprehensive gradient-free optimization framework written in Python
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.