ML Concepts

Repo for learning tools and ideas of ML/AI

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TODO

• re-organize / cleanup the structure
• 'llm from scratch' book
  • rework chapter 03
  • chapter 04
  • chapter 05
  • chapter 06
  • chapter 07

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Here is that content organized into a hierarchical markdown structure, with the sub-items alphabetized and typos corrected for clarity.

Contents

• Ideas
  • Grammar Constrained Decoding
  • GPT From Scratch
  • Graph Neural Networks
  • LSTM
  • Metric Learning
  • Seq2Seq
  • SSL
  • Transformers
  • VAE
  • XAI
  • XGBoost
• Tasks
  • Eye Biometrics
  • Optimal Urban Route Choice
  • Sentiment Analysis
  • Speech Analysis
  • Style Transfer
  • Timeseries
• Theory
  • Attention
  • Byte-Pair Encoding Tokenizer
  • Cross Entropy
  • Einsum
  • Kernels
  • Kullback-Leibler Divergence
  • Lipschitz Normalization
  • Logits
  • Semantic Search
  • Softmax vs Argmax
  • Spectral Decomposition
  • Transformer
  • Vector Similarity
  • Wasserstein Distance
• Tools
  • Apache Airflow
  • Data Visualisation
  • Gradio Demos
  • Hydra Config Management
  • Model Context Protocol
  • PySpark
  • PyTorch Lightning
  • PyTorch Profiler
  • Rasa Framework
  • Wandb Experiments Tracking
  • Word2Vec Embeddings