dmasloff/AngelSlim
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
A project on the topic of compression of pretrained models done by Daniil Maslov, Arsenii Rybakov and Ruben Safaryan.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
A multi-voice TTS system trained with an emphasis on quality
Self-made implementation of cpp-deque
Self-made implementation of cpp-unordered-map
Self-made implementation of cpp-smart-pointers
Self-made implementation of cpp-list
Self-made implementation of matrix in cpp
Self-made implementation of basic geometrical primitives in cpp
Self-made implementation of cpp-string
Self-made implementation of big-integers and rationals in cpp
Notebooks for https://python.quantecon.org