Mu Li

Paper Reading. I recorded detailed video explanations of deep learning research papers.

Dive into Deep Learning. I wrote a free deep learning textbook with runnable code for everyone.

AutoCut. I made a tool that cuts videos by editing text captions.

transformers-benchmarks. real Transformer TeraFLOPS on various GPUs

Dive into Deep Learning Compiler. I wrote a free course teaching how AI models get optimized for speed.

Mintlify Starter Kit. I made a documentation starter template you can deploy and customize instantly.

Nyström. I implemented a faster version of Nyström approximation for large datasets.

D2L One-Day. I made a one-day deep learning bootcamp with a hackathon.

Powerball. I wrote MATLAB code for the powerball statistical method.

D2L 1Day. I made notebooks that teach deep learning fundamentals in one day.

Parsa. I built a tool that splits large graphs across multiple computers.

15721 TA. I wrote grading scripts for a CMU database course.

1Day Notebooks. I built notebooks that teach deep learning fundamentals in one day.

AutoGluon Docs. I'm rebuilding documentation for AutoGluon's machine learning toolkit.

MXNet Benchmark. I wrote benchmark scripts for testing MXNet performance.

Deps. I made a tool that shows you what your project depends on.

D2L TVM Colab. I made interactive notebooks teaching machine learning compiler optimization.

Lanyon Blog. I made a personal blog using Jekyll and the Lanyon theme.

Gluon. I made tutorials that teach AI model building with working code examples.

CTR Data. I collected a sample click-through rate dataset for model testing.

ResNet-v2. I reproduced ResNet-v2 image recognition models with better accuracy.

DLMark. I built an open benchmark for measuring deep learning system performance.

MXNet Docs. I'm rebuilding the documentation website for MXNet.

DeepNumPy Docs. I wrote documentation for MXNet's NumPy-compatible branch.