JuanCervino
I am interested in seeing machine learning through the lens of optimization theory. My interests include optimization, machine learning, and control.
University of PennsylvaniaRoom 405B, 3401 Walnut St
JuanCervino's Stars
JuanCervino/crossLearningFunctional
twitter-research/neural-sheaf-diffusion
google-research/spherical-cnn
zylon-ai/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
NVIDIA/nvcomp
Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.
clabat9/Tangent-Bundle-Neural-Networks
Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
khipu-ai/practicals-2023
jbhuang0604/awesome-tips
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3292 LeetCode Problems (Weekly Update)
pliang279/LG-FedAvg
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
mturja-vf-ic-bd/SAR
Forking SAR to extend it to federated graph setting
hemanthdv/da-hash
MatConvNet: CNNs for MATLAB
arobey1/advbench
IntelLabs/SAR
timchartier/optart
alelab-upenn/graph-neural-networks
Library to implement graph neural networks in PyTorch
shenzebang/Federated-Learning-Pytorch
ryanchankh/mcr2
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)