Hollen0318/dlsys-solution
My solutions to the assignments of dlsys course (CSE599G1: Deep Learning System Spring 2017)
Ph.D. Student of Computer Engineering at the University of Virginia
My solutions to the assignments of dlsys course (CSE599G1: Deep Learning System Spring 2017)
PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the parameter estimation process.
Assignment 1: automatic differentiation
MIT CS 6.042 opencourseware Fall 2010 problems + solutions
assignment from https://github.com/dlsys-course/assignment1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Solution for exercises in CS 61B - Spring 2018
Demonstration of transfer of knowledge and generalization with distillation
A toolkit for fetal brain localization and segmentation using deep learning
Python implementation of Newman's spectral methods to maximize modularity.
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
Factorization Machine models in PyTorch
Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy
Exercises from the book "Operating systems: Three easy pieces"
Code created for lecture during spring 19
Operating System Three Easy Pieces Solution.
NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
My assignments & projects code for the Princeton-Algorithm-Summer-2022
Operation Systems Codes for Summer 2022
95.47% on CIFAR10 with PyTorch
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
This repository fixes the bugs in the Coursera Class Neural Network with PyTorch
RF^2 is a federated recommendation learning simulation framework that can simulate realistic system-induced data heterogeneity and its effect on various tier-aware FL optimizations.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
A Unified Semi-Supervised Learning Codebase