This is your work, valued

Stanford, CA

Marcel Rød

Expert
@marcelroed

3rd year PhD student at Stanford doing ML + systems. Teaching CS336.

gigatoken. Language model tokenization at GB/s

3.8k

rgcn-jax. Python

5

jax-knn. Implementation of K nearest neighbor using K-D trees with support for CPU and TPU

4

monolithic-sup. Mojo

3

flash-hog. Python

3

dbgpy. Python implementation of Rust's dbg! macro using CSTs

1

examscraper. A small program for fetching and classifying previous exams.

1

rgcn. Implementation of RGCNs in PyTorch

1

kattischeck. Fetches sample input and output and compares program output.

1

kattis-zig.

1

model-optimization. A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

1