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self-supervised-learning-computer-vision

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amanpatel9516 / Self-Supervised-Visual-Clustering

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End-to-end Self-Supervised Visual Feature Clustering project. Extracts deep representations using frozen ResNet50 transfer features from CIFAR-10 data, benchmarking K-Means, DBSCAN, and GMM. Features an interactive UMAP web dashboard and real-time visual query search engine.

deep-learning clustering machine-learning-algorithms feature-extraction unsupervised-learning gmm image-retrieval kmeans-clustering umap resnet50 fastapi self-supervised-learning-computer-vision
  • Updated May 13, 2026
  • Python

mkdsrt10 / mini-v-jepa-from-scratch

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Educational implementation of V-JEPA (Video Joint Embedding Predictive Architecture) in PyTorch. Includes Conv3D tubelet embeddings, Video ViT, EMA target encoder, spatiotemporal masking, linear probing, retrieval evaluation, and effective-rank analysis on Something-Something V2.

representation-learning self-supervised-learning world-models video-transformer jepa something-something-v2 ssv2 v-jepa2 v-jepa self-supervised-learning-computer-vision
  • Updated Jul 27, 2026
  • Python

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