OpenMMLab Pre-training Toolbox and Benchmark
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Updated
Nov 1, 2024 - Python
OpenMMLab Pre-training Toolbox and Benchmark
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
Implementation of Contrastive Predictive Coding for Natural Language
CALM (Contrastive Alignment of Language and Music) aligns songs with their natural language description using CLIP (Project for the 1st Sound of AI Hackathon).
Semi-supervised SimCLR for TTT++
Official implementation of the EACL Findings 2024 paper: Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Pytorch Implementation of One Shot Learning for Face Recognition
an implementation of unsupervised core-set selection
Pre-text pre-training -> image segmentaion pipelines. Utilize contrastive learning and ViT as Encoder. Studied the effects of dataset sizes, dataset similarity and effects of fine-tuning.
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