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18 search results found

Simclr ⭐ 3,525

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Selfsne ⭐ 147

Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering

Simclr Pytorch ⭐ 140

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Vq Font ⭐ 107

[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles

Contracode ⭐ 96

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets

TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".

G Simclr ⭐ 69

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Supervised Contrastive Learning In Tensorflow 2 ⭐ 42

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

[ICIP 2022] VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning

Offical implement of NCL-IML (Pre-training-free Image Manipulation Localization through Non-Mutually Contrastive Learning), ICCV2023

Seisclip ⭐ 16

SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction

Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

Noncontrastive Ssl ⭐ 8

Analyzing partial dimensional collapse in non-contrastive self-supervised learning. "Understanding Collapse in Non-Contrastive Siamese Representation Learning." In ECCV, 2022.

Deep Embedded Music ⭐ 7

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data"

Understanding Negative Samples ⭐ 6

#NeurIPS2021 Codes for Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning

Handposeestimation ⭐ 5

This repo contains the code used for carrying experiments for Paper Id 50 in preregister workshop at NeurIPS 2020.

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