Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for deep learning contrastive loss
contrastive-loss
x
deep-learning
x
12 search results found
Open_clip
⭐
7,355
An open source implementation of CLIP.
Siamese Triplet
⭐
2,853
Siamese and triplet networks with online pair/triplet mining in PyTorch
Chinese Clip
⭐
2,816
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Simclr
⭐
1,745
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Curl
⭐
280
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Contrastive Predictive Coding
⭐
269
Keras implementation of Representation Learning with Contrastive Predictive Coding
Ccpl
⭐
98
Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)
Contrique
⭐
79
Official implementation for "Image Quality Assessment using Contrastive Learning"
Logg3d Net
⭐
73
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
Contrastive Learner
⭐
39
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
G Universal Clip
⭐
33
4th place solution for the Google Universal Image Embedding Kaggle Challenge. Instance-Level Recognition workshop at ECCV 2022
Coala
⭐
15
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
Related Searches
Python Deep Learning (17,913)
Jupyter Notebook Deep Learning (10,328)
Deep Learning Pytorch (6,767)
Deep Learning Tensorflow (5,868)
Deep Learning Neural Network (5,801)
Deep Learning Convolutional Neural Networks (4,142)
Deep Learning Neural (3,734)
Network Deep Learning (3,532)
Deep Learning Computer Vision (3,365)
Deep Learning Keras (3,258)
1-12 of 12 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.