zhihu/cuBERT
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
$ git clone https://github.com/snap-research/MMVID.gitFast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
Deep Learning Transformer models in MATLAB
文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本
基于 Tensorflow,仿 Scikit-Learn 设计的深度学习自然语言处理框架。支持 40 余种模型类,涵盖语言模型、文本分类、NER、MRC、知识蒸馏等各个领域
Data from GitHub · snapshot Nov 13, 2026