Stars
Red-black tree implementation in Python
Curated resources for discovering, reading, and working with arXiv papers
An extremely fast Python type checker and language server, written in Rust.
Schedule-Free Optimization in PyTorch
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication feat…
Ongoing Lean formalisation of the proof of Fermat's Last Theorem
[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, ope…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Evolutionary multi-objective optimization platform
A collection of Benchmark functions for numerical optimization problems
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
A Python framework for accelerated simulation, data generation and spatial computing.
A comparison of array languages & libraries: APL, J, BQN, Uiua, Q, Julia, R, NumPy, Nial, Futhark, Dex, Ivy, SaC & ArrayFire.
A Python subset for a better MLIR programming experience
Development repository for the Triton language and compiler
A cross-platform, safe, pure-Rust graphics API.
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Population optimization algorithms
Implementations of SIMD instruction sets for systems which don't natively support them.