280 Open source projects that are alternatives of or similar to free-lunch-saliency

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Collection of NLP model explanations and accompanying analysis tools

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

Sequence to Sequence Models in PyTorch

Compact Generalized Non-local Network (NIPS 2018)

Visualize BERT's self-attention layers on text classification tasks

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

XAI Tutorial for the Explainable AI track in the ALPS winter school 2021

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

A pytorch implementation of the attention based ocr

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

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Long Range Arena for Benchmarking Efficient Transformers

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

Attentional Learning of Trash Classification

A Universal Deep Reinforcement Learning Framework

Concept Bottleneck Models, ICML 2020

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

Molecular Explanation Generator

Collection of custom layers and utility functions for Keras which are missing in the main framework.

A .Net-based Cross-Assembler for Several 8-Bit Microprocessors

A pytorch implementation of https://arxiv.org/abs/1904.09925

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

seq2seq attention tensorflow textrank context

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

NeurIPS 2018. Linear-time model comparison tests.

FastBasic - Fast BASIC interpreter for the Atari 8-bit computers

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Awesome Lists of retrocomputing resources (6502, Apple 2, Atari, ...)

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Data generator for Arena - interactive XAI dashboard

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

Enhanced BiLSTM Inference Model for Natural Language Inference

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

all kinds of baseline models for long text classificaiton( text categorization)

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

A free, open-source compressor for the ZX0 format

nlp lecture-notes and source code

A curated list of original and reverse-engineered vintage 6502 game sourcecode.

Unofficial implementation algorithms of attention models on SNLI dataset

2018-JDDC大赛第4名的解决方案

Virtual Jaguar, an Atari Jaguar emulator, with integrated debugger