TensorFlow 2 library implementing Graph Neural Networks
MIT License
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A Python package for generating concise, high-quality summaries of a probability distribution
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documen...
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Large-scale pretraining for dialogue
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
[NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse c...
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable...
Foundation Architecture for (M)LLMs
VPTQ, A Flexible and Extreme low-bit quantization algorithm
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Utilities used by the Deep Program Understanding team