My personal collection of interesting repos, started after many years of collecting them sporadically in the bookmarks of different browsers and various disconnected apps.
JAX-based neural network library
FFCV: Fast Forward Computer Vision (and other ML workloads!)
[JRose code WIP] --Adapted from official PyTorch implementation of "How Do Vision Transformers Work?"
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.
Sandbox for training convolutional networks for computer vision
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Skoltech course, Introduction to Digital Agriculture, 3 term
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Becoming better at data science every day
A repository in preparation for open-sourcing lottery ticket hypothesis code.
🐦 Quickly annotate data from the comfort of your Jupyter notebook
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
TFRecord reader for PyTorch
Transfer Learning Library for Domain Adaptation and Finetune.
Code release for Zoo-Tuning: Adaptive Transfer from A Zoo of Models (ICML2021)