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
PyTorch code and models for the DINOv2 self-supervised learning method.
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
A curated list of awesome self-supervised methods
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A python library for self-supervised learning and latent world models on images.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Pathology Foundation Model - Nature Medicine
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