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mlfoundations / open_clip

An open source implementation of CLIP.

深度学习 PyTorch 机器视觉 language-model multi-modal-learning contrastive-loss zero-shot-classification pretrained-models

Python

11577

1092

3 天前

OFA-Sys / Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

chinese 机器视觉 multi-modal-learning 自然语言处理 PyTorch vision-and-language-pre-training image-text-retrieval clip pretrained-models vision-language 深度学习 multi-modal contrastive-loss transformers coreml-models

Python

5100

493

8 个月前

adambielski / siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

机器学习深度学习 siamese-network triplet-loss contrastive-loss PyTorch embedding triplet-network learning-embeddings

Python

3136

635

2 年前

sthalles / SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

机器学习深度学习 representation-learning pytorch-implementation PyTorch torchvision unsupervised-learning contrastive-loss simclr

Jupyter Notebook

2385

477

1 年前

OFA-Sys / ONE-PEACE

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

foundation-models multimodal representation-learning vision-language audio-language vision-and-language vision-transformer contrastive-loss

Python

1029

6 个月前

MishaLaskin / curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

深度学习 contrastive-loss contrastive-learning deep-reinforcement-learning deep-rl reinforcement-learning reinforcement-learning-algorithms cURL sac gpu 深度神经网络 deep-q-network deep-q-learning deeplearning-ai

Python

586

4 年前

leftthomas / SimCLR

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

PyTorch unsupervised-learning cifar10 contrastive-loss

Python

555

112

5 年前

RElbers / info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

contrastive-learning contrastive-loss self-supervised-learning

Python

540

1 年前

davidtellez / contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

深度学习 representation-learning unsupervised-learning contrastive-loss predictive-modeling

Python

536

120

6 年前

jefflai108 / Contrastive-Predictive-Coding-PyTorch

Contrastive Predictive Coding for Automatic Speaker Verification

representation-learning contrastive-loss predictive-modeling unsupervised-learning

Python

493

100

5 年前

justchenhao / STANet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

change-detection remote-sensing attention-mechanism contrastive-loss dataset

Python

438

113

2 年前

gmayday1997 / SceneChangeDet

pytorch implementation of scene change detection

PyTorch change-detection contrastive-loss

Python

245

2 年前

JarrentWu1031 / CCPL

[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet

contrastive-learning contrastive-loss eccv eccv-2022 eccv2022 image-to-image-translation video-style-transfer 深度学习 PyTorch style-transfer

Python

196

1 年前

clip-italian / clip-italian

CLIP (Contrastive Language–Image Pre-training) for Italian

clip transformers contrastive-loss huggingface dataset

Jupyter Notebook

185

2 年前

lucidrains / contrastive-learner

A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network

人工智能 self-supervised-learning contrastive-loss 深度学习

Python

135

4 年前

pavancm / CONTRIQUE

Official implementation for "Image Quality Assessment using Contrastive Learning"

图像处理机器视觉 image-quality-assessment image-quality contrastive-learning contrastive-loss 深度学习深度神经网络 convolutional-neural-networks

Python

129

10 个月前

csiro-robotics / LoGG3D-Net

[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.

深度学习 lidar-point-cloud lidar 3D learning contrastive-loss Point cloud Robotics PyTorch

Python

107

2 年前

flyinghu123 / CPR

This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)

anomaly-detection contrastive-loss

Python

101

6 个月前