A high-throughput and memory-efficient inference and serving engine for LLMs

Fast and memory-efficient exact attention

🙌 OpenHands: Code Less, Make More

verl: Volcano Engine Reinforcement Learning for LLMs

SGLang is a fast serving framework for large language models and vision language models.

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code for Paper "Imitation Learning for Neural Morphological String Transduction" by Peter Makarov and Simon Clematide. 2018. EMNLP

Code for the collection and analysis of the MTNT dataset

An open source framework for seq2seq models in PyTorch.

DyNet: The Dynamic Neural Network Toolkit

Starter code for working with the YouTube-8M dataset.

CME 213 Class Material