Jacob A Rose's repositories

thisnotthat

A visual labeling system implemented in Jupyter widgets.

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awesome-stars

A curated list of my GitHub stars! Organized by programming language. Generated by starred

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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.

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dm-haiku

JAX-based neural network library

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ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

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how-do-vits-work

[JRose code WIP] --Adapted from official PyTorch implementation of "How Do Vision Transformers Work?"

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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.

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imgclsmob

Sandbox for training convolutional networks for computer vision

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incremental_learning.pytorch

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

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Intro_to_Digital_Agriculture

Skoltech course, Introduction to Digital Agriculture, 3 term

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JacobARose.github.io

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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learning

Becoming better at data science every day

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open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

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pigeonXT-more

🐦 Quickly annotate data from the comfort of your Jupyter notebook

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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pytorch-project-template

PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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ResizeRight

The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).

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solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

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Solving_ImageNet

Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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tfrecord

TFRecord reader for PyTorch

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Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation and Finetune.

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Zoo-Tuning

Code release for Zoo-Tuning: Adaptive Transfer from A Zoo of Models (ICML2021)

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