Pinned Repositories
Aletheia
A Python package for unwrapping ReLU DNNs
basics
📚 Learn ML with clean code, simplified math and illustrative visuals.
bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
cluster
Instructions for using clusters at Virginia Tech
coco
MS COCO API - http://mscoco.org/
coding-interview-university
A complete computer science study plan to become a software engineer.
cs231n.github.io
Public facing notes page
dlrm
An implementation of a deep learning recommendation model (DLRM)
gdmix
A deep ranking personalization framework
gdrive
Google Drive CLI Client
Hokie23's Repositories
Hokie23/Aletheia
A Python package for unwrapping ReLU DNNs
Hokie23/basics
📚 Learn ML with clean code, simplified math and illustrative visuals.
Hokie23/bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Hokie23/cluster
Instructions for using clusters at Virginia Tech
Hokie23/coco
MS COCO API - http://mscoco.org/
Hokie23/coding-interview-university
A complete computer science study plan to become a software engineer.
Hokie23/cs231n.github.io
Public facing notes page
Hokie23/dlrm
An implementation of a deep learning recommendation model (DLRM)
Hokie23/gdmix
A deep ranking personalization framework
Hokie23/gdrive
Google Drive CLI Client
Hokie23/GoogLeNet.torch
Trained network models for Torch
Hokie23/gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
Hokie23/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Hokie23/multiagent_gnn_policies
Learning multi-agent policies for flocking using graph neural networks
Hokie23/multipathnet
A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)
Hokie23/practice-cpp
Part of my daily plan for studying C++.
Hokie23/practice-python
Part of my daily plan for studying Python.
Hokie23/pyro
Deep universal probabilistic programming with Python and PyTorch
Hokie23/torch7
http://torch.ch
Hokie23/TripletNet
Deep metric learning using Triplet network
Hokie23/umap
Uniform Manifold Approximation and Projection
Hokie23/uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Hokie23/unsupervised-triplet-embedding
attempt at implementing "Unsupervised Learning of Visual Representations using Videos" (http://arxiv.org/pdf/1505.00687.pdf) in torch7
Hokie23/visualResNet_torch
See the wrold with ResNet
Hokie23/VOG
Code for paper https://arxiv.org/pdf/2008.11600.pdf