199 Open source projects that are alternatives of or similar to knowledge-neurons

Collection of NLP model explanations and accompanying analysis tools

[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.

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

NMA deep learning course

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Text Classification in Turkish Texts with Bert

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

Trained T5 and T5-large model for creating keywords from text

Is a geometric model required to synthesize novel views from a single image?

official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"

Implementation of the Remixer Block from the Remixer paper, in Pytorch

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Deploy transformers serverless on AWS Lambda

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

General Multi-label Image Classification with Transformers

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EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

A PyTorch-based toolkit for natural language processing

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

For calculating global feature importance using Shapley values.

Repository for Machine Learning utils at the Wellcome Trust

Flexible components pairing 🤗 Transformers with Pytorch Lightning

Multimodal Image Synthesis and Editing: A Survey

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.

Chef Transformer 🍲 .

Transformers Pipeline with KoELECTRA

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

An NLP-suite powered by deep learning

🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Conversational text Analysis using various NLP techniques

[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Active Learning for Text Classification in Python

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Utility for analyzing Transformer based representations of language.

Compare neural networks by their feature similarity

Persian Bert For Long-Range Sequences

Universal 1d/2d data containers with Transformers functionality for data analysis.

Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Label data using HuggingFace's transformers and automatically get a prediction service

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Pytorch Implementation of GoEmotions 😍😢😱

🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)