Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
A python library for self-supervised learning and latent world models on images.
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
The PASS dataset: pretrained models and how to get the data
[DEPRECATED] Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks