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You can find the full code here: https://github.com/pandey-ps/world-models/tree/master/drive (it is well commented to explain about the environment of the model). on a higher level, world models are
DeepSeekV3 You can find the full code here: https://github.com/pandey-ps/solvingpapers/tree/main/deepseekv3 8x2 MoE DeepSeekV3 model from scratch in pytorch; this is a decoder only transformer with op
You can find the full code here: https://github.com/pandey-ps/raytracer I started this project as to learn the math behind the working of ray tracers as a weekend challenge. So, what I implemented is
Vision Transformers run at a fixed image resolution. Easy images still go through the full high resolution pipeline, wasting time and compute. In this post, I explain a Dynamic Vision Transformer that
DeepSeek recently released DeepSeek-OCR, the research paper of it focuses on vision text compression, the model can decode thousands of text tokens from few hundred vision tokens. I wanted to test thi
Large Language Models (LLMs) like ChatGPT, Gemini, or Claude generate text one piece at a time. They don't write full sentences in one go. Instead, they decide the next token, add it to the text, then
Artificial Neural Networks (ANNs) are one of the most important concepts in machine learning and artificial intelligence. Inspired by how the human brain works, ANNs are designed to recognize patterns
