Pinned Repositories
2022Spring-PBL2-Spectrograph
code for 2022Spring PBL2 Group2 Projects
EC-HAENet
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
PBL3-2022-Fall-sEMG-Recognition-master
PBL3-2022-Fall-sEMG-Recognition-master
prob-cbm
Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
pytorch_attribution
Attribution methods that explain image classification models, implemented in PyTorch, and support batch inputs and GPU.
V2C-CBM
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer (AAAI 2025)
ICML-2024-SAM-AT
riverback's Repositories
riverback/V2C-CBM
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer (AAAI 2025)
riverback/pytorch_attribution
Attribution methods that explain image classification models, implemented in PyTorch, and support batch inputs and GPU.
riverback/PBL3-2022-Fall-sEMG-Recognition-master
PBL3-2022-Fall-sEMG-Recognition-master
riverback/2022Spring-PBL2-Spectrograph
code for 2022Spring PBL2 Group2 Projects
riverback/EC-HAENet
riverback/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
riverback/prob-cbm
Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
riverback/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
riverback/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
riverback/riverback.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
riverback/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.
riverback/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
riverback/xplique
👋 Xplique is a Neural Networks Explainability Toolbox