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Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A python library for self-supervised learning on images.
LightSeq: A High Performance Library for Sequence Processing and Generation
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
(CVPR 2021 Oral) Open World Object Detection
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
A concise but complete implementation of CLIP with various experimental improvements from recent papers