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Welcome to the MO436/MC934 -- Machine Learning under the hood

Table of Contents

1. ONNX Model

2. The GLOW Platform

   2.1. Building the Environment

   2.2. Compiling the Model

   2.3. Running the Inference

   2.4. Using Containers

   2.5. Design of Glow Intermediate Representation

   2.6. CPU Backend

   2.7. Working with Quantization

   2.8. Glow Optimization passes

   2.9. Project P2

3. GEMM Optimization

4. ML Code Optimization

5. The JAX Library