Pinned Repositories
Awesome-Repos
My personal collection of interesting repos, started after many years of collecting them sporadically in the bookmarks of different browsers and various disconnected apps.
awesome-stars
A curated list of my GitHub stars! Organized by programming language. Generated by starred
deprecated-JacobARose.github.io
dm-haiku
JAX-based neural network library
ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
genetic_algorithm
Implementation of a Genetic Algorithm framework for evolving the optimal structure of deep neural nets based on a fitness function applied to a particular dataset.
how-do-vits-work
[JRose code WIP] --Adapted from official PyTorch implementation of "How Do Vision Transformers Work?"
pyleaves
Full project repo containing sub-packages for database, dataloaders, models, training, and analysis.
thisnotthat
A visual labeling system implemented in Jupyter widgets.
JacobARose's Repositories
JacobARose/thisnotthat
A visual labeling system implemented in Jupyter widgets.
JacobARose/Awesome-Repos
My personal collection of interesting repos, started after many years of collecting them sporadically in the bookmarks of different browsers and various disconnected apps.
JacobARose/awesome-stars
A curated list of my GitHub stars! Organized by programming language. Generated by starred
JacobARose/deprecated-JacobARose.github.io
JacobARose/dm-haiku
JAX-based neural network library
JacobARose/how-do-vits-work
[JRose code WIP] --Adapted from official PyTorch implementation of "How Do Vision Transformers Work?"
JacobARose/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
JacobARose/genetic_algorithm
Implementation of a Genetic Algorithm framework for evolving the optimal structure of deep neural nets based on a fitness function applied to a particular dataset.
JacobARose/image-utils
Refined collection of various image file utilities I've written and re-written at various points during my graduate studies performing research in computer vision.
JacobARose/imgclsmob
Sandbox for training convolutional networks for computer vision
JacobARose/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
JacobARose/Intro_to_Digital_Agriculture
Skoltech course, Introduction to Digital Agriculture, 3 term
JacobARose/JacobARose.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
JacobARose/learning
Becoming better at data science every day
JacobARose/lightning-hydra-classifiers
JacobARose/nbdev_leaves_demo
JacobARose/notes
JacobARose/open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
JacobARose/pigeonXT-more
🐦 Quickly annotate data from the comfort of your Jupyter notebook
JacobARose/python-boilerplate
JacobARose/pytorch-project-template
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
JacobARose/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
JacobARose/ResizeRight
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
JacobARose/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
JacobARose/Solving_ImageNet
Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)
JacobARose/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
JacobARose/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
JacobARose/Twitter-API-v2-fork
Sample code for the Twitter API v2 endpoints
JacobARose/Zoo-Tuning
Code release for Zoo-Tuning: Adaptive Transfer from A Zoo of Models (ICML2021)
JacobARose/al-fk-self-supervision
(fork of) the Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"