marcelroed

1st year PhD student at Stanford. Structured machine learning, generative models, compilers, and hardware accelerators. Supervised by Jure Leskovec.

StanfordStanford, CA

Pinned Repositories

dbgpy
Python implementation of Rust's dbg! macro using CSTs
Language:Python1 2 00
examscraper
A small program for fetching and classifying previous exams.
Language:Python1 1 00
jax-knn
Implementation of K nearest neighbor using K-D trees with support for CPU and TPU
Language:Python30
kattis-zig
10
kattischeck
Fetches sample input and output and compares program output.
Language:Python10
model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Language:Python11
pytorch2timeloop-converter
Language:Python1 0 00
rgcn
Implementation of RGCNs in PyTorch
Language:Python10
rgcn-jax
Language:Python4 5 00

marcelroed's Repositories

marcelroed/graph-neural-pde
Graph Neural PDEs
marcelroed/equivariant-MLP
A library for programmatically generating equivariant layers through constraint solving
Language:Jupyter Notebook
marcelroed/setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
Language:Python
marcelroed/conda-forge-pinning-feedstock
A conda-smithy repository for conda-forge-pinning.
marcelroed/dbgpy-feedstock
A conda-smithy repository for dbgpy.
marcelroed/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Language:Python
marcelroed/submitit
Python 3.6+ toolbox for submitting jobs to Slurm
Language:Python
marcelroed/hydra
Hydra is a framework for elegantly configuring complex applications
Language:Python
marcelroed/understanding-oversquashing
marcelroed/RGCN2
Language:Python
marcelroed/rgcn
Implementation of RGCNs in PyTorch
Language:Python1
marcelroed/rgcn-jax
Language:Python4
marcelroed/RelationPrediction
Implementation of R-GCNs for Relational Link Prediction
Language:Python
marcelroed/dbgpy
Python implementation of Rust's dbg! macro using CSTs
Language:Python1
marcelroed/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Language:Python
marcelroed/PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Language:Python
marcelroed/flower
A simple tool for fluid simulation.
Language:C++
marcelroed/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Language:Python11
marcelroed/keras-surgeon
Pruning and other network surgery for trained Keras models.
Language:Python
marcelroed/nes-py
A Python3 NES emulator and OpenAI Gym interface
marcelroed/e3nn
A modular framework for neural networks with Euclidean symmetry
Language:Python
marcelroed/opt_einsum_fx
Einsum optimization using opt_einsum and PyTorch FX graph rewriting
Language:Python
marcelroed/cern-misc
Scripts and tidbits from work at CERN
Language:Python
marcelroed/root_numpy
The interface between ROOT and NumPy
Language:Python
marcelroed/conifer
Fast inference of Boosted Decision Trees in FPGAs
marcelroed/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
Language:Python
marcelroed/kattischeck
Fetches sample input and output and compares program output.
Language:Python1
marcelroed/proc-macro-workshop
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
marcelroed/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
marcelroed/ray-tracing
Language:C++