All Katas - ML Katas

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Implementing a Siamese Network with Triplet Loss

this month hard (>1 hr) | siamese loss learning triplet metric

Building on the previous exercise, let's switch to **Triplet Loss**. This loss function is more powerful as it enforces a margin between an anchor-positive pair and an anchor-negative pair. The...
Implementing Self-Supervised Learning with BYOL

this month hard (>1 hr) | image learning contrastive self-supervised byol

Implement the core logic of **Bootstrap Your Own Latent (BYOL)**. BYOL is a self-supervised learning method that learns image representations without using negative pairs. It consists of two...