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This project is an AI research implementation library and machine learning research repository. It provides a collection of reference code, illustrative implementations, and open-source research datasets used to verify hypotheses and build upon existing models in artificial intelligence. The repository focuses on scientific research reproduction by translating theoretical findings from published papers into executable code. It includes specialized scientific simulation environments designed to test the behavior of autonomous agents and models within controlled settings. The project covers AI
We release paper and code for SwAV, our new self-supervised method. SwAV pushes self-supervised learning to only 1.2% away from supervised learning on ImageNet with a ResNet-50! It combines online clustering with a multi-crop data augmentation.
DeiT is a PyTorch vision transformer framework designed for image classification. It implements a transformer-based architecture that processes images as sequences of flattened patches using self-attention layers and position-aware sequence modeling instead of convolutional filters. The project focuses on data-efficient training through a knowledge distillation framework. This system allows a student model to mimic the soft labels of a high-performance teacher model to improve accuracy and generalization, particularly when training on smaller datasets. The library covers the full development
A state-of-the-art semi-supervised method for image recognition
The main features of curiousai/mean-teacher are: Advanced Learning.
Projects with overlapping indexed features include: deepmind/deepmind-research — This project is an AI research implementation library and machine learning research repository. It provides a… facebookresearch/deepcluster — We release paper and code for SwAV, our new self-supervised method. SwAV pushes self-supervised learning to only 1.2%… facebookresearch/deit — DeiT is a PyTorch vision transformer framework designed for image classification. It implements a transformer-based… facebookresearch/dino — This project is a PyTorch vision transformer framework designed for self-supervised learning. It implements a model… facebookresearch/moco — moco is a PyTorch implementation of momentum contrast designed for self-supervised visual representation learning. It… ddtm/caffe — Caffe: a fast open framework for deep learning.
