Self-Explaining Neural Networks

This repo includes a jupyter notebook to create and evaluate a gradcam which can detect the object area

Testing Grad-Cam on pre-trained VGG19 model using PyTorch

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Deep insight into novel TabTransformer architecture for learning task on tabular data

Explainability for Vision Transformers

Development of a Transformer to work with tabular data in binary and multiclass classification that provides an explanation of the results it provides.

Classification in TabularDataset

Proposed Transformer modification for tabular data

DeepLearning for Tabular Data with FT_Transformer & ResNet

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Repository for the EMNLP 2023 Demo Paper "Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data"

Implementation of TabTransformer, attention network for tabular data, in Pytorch

MTL-TabNet: Multi-task Learning based Model for Image-based Table Recognition

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Code to reproduce data for Bias in Bios

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Jupyter notebooks for the Natural Language Processing with Transformers book

Building Transformer Models with PyTorch 2.0, by BPB Publications

Simple transformer implementation from scratch in pytorch.

A Simplified PyTorch Implementation of Vision Transformer (ViT)

Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.