minnkyungkim

explaining-in-style

DeepLIIF

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

FLAIR

FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

FriendsDontLetFriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

CompBioDatasetsForMachineLearning

A Curated List of Computational Biology Datasets Suitable for Machine Learning

RETFound_MAE

RETFound - A foundation model for retinal image

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

3d-vision-transformers

A list of 3D computer vision papers with Transformers

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

visprog

Official code for VisProg (CVPR 2023 Best Paper!)

RAVEN

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

SCL

PyTorch implementation for The Scattering Compositional Learner (SCL)

crumb

Compositional Replay Using Memory Blocks (CRUMB) is a replay algorithm for online stream learning that stores and replays training examples at a feature level using a differentiable codebook to mitigate catastrophic forgetting. This repo also contains instructions for setting up the Toybox and iLab-2M-Light stream learning benchmarks.

braintree

xplique

👋 Xplique is a Neural Networks Explainability Toolbox

alphafold

Open source code for AlphaFold.

CVR

A Benchmark for Efficient and Compositional Visual Reasoning

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

pytorch3d-renderer

A PyTorch3D walkthrough and a Medium article 👋 on how to render 3D .obj meshes from various viewpoints to create 2D images.

CompositionalNets

Official implementation of CVPR2020 paper: "Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion" https://arxiv.org/abs/2003.04490

in_distribution_adversarial_examples

Source code for the paper: "Adversarial examples within the training distribution: A widespread challenge"

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

HandOccNet

Offical pytorch implementation of "HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network", CVPR 2022.

TensoRF

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

giraffe

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

DDcGAN

DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion / Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

openData

:open_file_folder: Data exports from select "open data" Polis conversations