Awesome Open Source

Programming Languages

Search results for self supervised learning pretrained models

pretrained-models x

self-supervised-learning x

9 search results found

Mmpretrain ⭐ 3,172

OpenMMLab Pre-training Toolbox and Benchmark

Spark ⭐ 1,355

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Modelsgenesis ⭐ 674

[MICCAI 2019] [MEDIA 2020] Models Genesis

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Semanticgenesis ⭐ 47

Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020

Marble Benchmark ⭐ 34

Music Audio Representation Benchmark for Universal Evaluation

Bert Like Is All You Need ⭐ 29

The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

Mrm Pytorch ⭐ 18

An official implementation of Advancing Radiograph Representation Learning with Masked Record Modeling (ICLR'23)

Recommendation_transfer_learning_pretraining ⭐ 18

Pre-training and Transfer learning papers for recommendation

[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"

CSS-LM: Contrastive Semi-supervised Fine-tuning of Pre-trained Language Models

Thecoloroutofspace ⭐ 6

Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"

Humanlike Vits ⭐ 6

ViT models pretrained with up to ~5k hours of human-like video data

Pytorch Image Models With Simclr ⭐ 5

Multi-label classification based on timm, and add SimCLR to timm.

Related Searches

Python Self Supervised Learning (414)

Python Pretrained Models (351)

Pytorch Pretrained Models (193)

Deep Learning Pretrained Models (164)

1-9 of 9 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.