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11755proj

barlowtwins

PyTorch implementation of Barlow Twins.

clip-training

Code to train CLIP model

decoupled-contrastive-learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dist

emgdecompy

A package for decomposing multi-channel EMG signals into individual motor unit activity.

fullgrad-saliency

Full-gradient saliency maps

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

mm-shap

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

move-seg

Code for MOVE: Unsupervised Movable Object Segmentation and Detection; NeurIPS 2022

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

pcl-single-card

pi-vae

Poisson Identifiable VAE (pi-VAE)

pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

pytorch-byol

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

pytorch-smoothgrad

SmoothGrad implementation in PyTorch

reflectance-filtering

Reflectance Adaptive Filtering Improves Intrinsic Image Estimation

selfmask

[CVPRW'22] Unsupervised Salient Object Detection With Spectral Cluster Voting

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

simclr_pytorch

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

tracer

TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

variance_reduced_neural_networks

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.