Deep Learning
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From rigid grids to adaptive attention, this is the evolutionary path that made detection transformers…
6 min read -
A step-by-step introduction to understanding cancer from the perspective of a data scientist.
12 min read -
Understanding and implementing MobileNetV2 with PyTorch — the next generation of MobileNetV1
28 min read -
Learn how to diagnose and resolve bottlenecks in PyTorch using the num_workers, pin_memory, and profiler…
14 min read -
The basics of GPU programming, optimisation, and your first Triton kernel
9 min read -
Deep learning is shaping our world as we speak. In fact, it has been slowly…
15 min read -
A Deep Dive into “Out of Time: Automated Lip Sync in the Wild”
11 min read -
Understanding and implementing MobileNetV1 from scratch with PyTorch
26 min read -
Learn APE, RoPE, and ALiBi positional embeddings for GPT — intuitions, math, PyTorch code, and…
15 min read -
From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch
Deep LearningPractical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough
19 min read