101 Open source projects that are alternatives of or similar to InterpretDL

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

A collection of simulations and visualizations for all sorts of stuff (Majorly Algorithmic or Mathematical)

A PaddlePaddle version image model zoo.

4th place solution in Baidu Autonomous Driving Lane Segmentation

This repository contains demos I made with the Transformers library by HuggingFace.

PowerShell version of explainshell.com

A library for drawing graphics on the console screen

Chainer implementation of Grad-CAM

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Pytorch implementation of convolutional neural network visualization techniques

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Vision Transformer for 3D medical image registration (Pytorch).

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

《深度学习应用实战之PaddlePaddle》的源码

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

Multicycles.org aggregates on one map, more than 200 share vehicles like bikes, scooters, mopeds and cars. Demo APP for the Data Flow API, see https://flow.fluctuo.com

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

A PaddlePaddle version implementation of CLIP of OpenAI.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

End-to-end face detection and recognition system using PaddlePaddle.

Faster and more precisely than Grad-CAM

Fantasy Premier League Stats, Visualizations & Analysis. ⚽ 📊 📈

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, FaceViT.

Spotfire Mods by TIBCO Spotfire®

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

Interactive Visual Machine Learning Demos.

Telescope is an engine for efficiently creating meaningful visualizations

Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation", which is for my graduation thesis.

Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

A collection of SOTA Image Classification Models in PyTorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

Curated Python Notebooks for Data Visualization

Volunteers building and sharing current, accurate, near real-time COVID-19 tracking and prediction tools.

Paddle Custom Operators.

LPIPS metric on PaddlePaddle. pip install paddle-lpips

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

低代码序列数据处理框架，最短两行即可完成训练任务！

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

SOTA Semantic Segmentation Models in PyTorch

Implementation of Conv-based and Vit-based networks designed for CIFAR.

You Only Look at One Sequence (NeurIPS 2021)

Implementation of Grad-CAM for text.

Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"

FSL-Mate: A collection of resources for few-shot learning (FSL).

A collection of common algorithms and data structures implemented in Java.

A hybrid command-line/UI development experience for cloud-native development

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

A better visualization of different algorithms made with React

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

deep-learning platforms,framework,data（深度学习平台、框架、资料）

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

基于PaddlePaddle复现的MTCNN人脸检测模型