Awesome GitHub RepositoriesForeign Function Interfaces

NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat

This project provides Rust bindings for the TensorFlow C API, serving as a tensor computation interface and machine learning library. It enables the construction and execution of machine learning models and neural networks by bridging a systems language to high-performance backends. The framework supports GPU-accelerated computing to increase the speed of model training and inference by offloading mathematical operations to graphics processing units. It offers both graph-based computation for defining static network architectures and an eager execution mode for immediate operation calls durin

AutoGPTQ este un set de instrumente de compresie a modelelor și un framework de cuantizare post-antrenare conceput pentru a reduce amprenta de memorie a modelelor de limbaj mari. Utilizează algoritmul GPTQ pentru a comprima ponderile rețelelor neuronale, reducând cerințele hardware și utilizarea VRAM. Proiectul servește drept accelerator de inferență prin furnizarea de nuclee optimizate care cresc viteza de generare a token-urilor. Dispune de extensibilitate a arhitecturii modelului, permițând adăugarea capabilităților de cuantizare la noi structuri de modele prin modele configurabile. Framework-ul acoperă un pipeline cuprinzător de cuantizare, incluzând compresia ponderilor pe niveluri, estimarea scalei bazată pe calibrare și maparea memoriei specifică preciziei. Include, de asemenea, sisteme pentru evaluarea performanței modelului pentru a măsura impactul cuantizării asupra acurateței în sarcini de limbaj și sumarizare.

Janet is a Lisp-based dynamic programming language featuring a register-based bytecode virtual machine and an embeddable scripting engine. It functions as a fiber-based concurrency runtime and includes a parsing engine based on Parsing Expression Grammars. The project is distinguished by its ability to be integrated into C or C++ applications via a minimal header interface. It utilizes a Lisp-style macro system for compile-time code transformation and employs prototype-based table inheritance for object-oriented behavior. The runtime covers a broad set of capabilities, including asynchronous