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What is Neural Collapse? A Simpler Look
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Swarm Structure Simulation
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Mechanistic Interpretability - Some concepts
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Group Relative Policy Optimization (GRPO)
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Deepseek, an overview and quick notes
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Probability Paradigms
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Classifier free diffusion guidance
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Diffusion models for time series
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Flow Matching, a short overview
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Scarf: Self Supervised Learning for Tabular Data
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The Platonic Representation Hypothesis: Are AI Models Converging on Universal Representations?
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Sparse Autoencoders
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Temporal Graph Networks: A Deep Dive into Dynamic Graph Learning
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Graph Convolutional Networks
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Integrated Information Theory (IIT)
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A comprehensive list of different types of VAEs
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Quantization of LLMs
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Kolmogorov-Arnold Networks
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Some common divergences
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DDIM vs DDPM
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Diffusion models or Autoencoders?
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Understanding and Implementing RAG (Retrieval-Augmented Generation)
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Self Supervised Learning
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Conditional Tabular GAN - CTGAN
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Simple Reinforcement Learning Example
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Kolmogorov Complexity
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Encoder vs Decoder vs EncoderDecoder Architectures
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Some tests with the Mandelbrot set and parallelization
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Having fun with decoding and optimization
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Implementing the Transformer in Python
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Implementing the Kalman Filter in Python
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Implementing from scratch a Hopfield Network
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Understanding Cover's Universal Portfolio
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Hopfield Networks for dummies
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BERT and fine tunning