621 Open source projects that are alternatives of or similar to Graph Transformer

Running BERT without Padding

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

Unsupervised learning and generative models in python/pytorch.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the paper "Analyzing Source and Target Contributions to NMT Predictions".

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

speech to text with self-supervised learning based on wav2vec 2.0 framework

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Transformation functions generator for Protocol Buffers.

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Implementation of the convolutional module from the Conformer paper, for use in Transformers

A Compositional Object-Based Approach to Learning Physical Dynamics

A Jest transformer using esbuild

code/webpage for the DeepMapping project

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

reference tensorflow code for named entity tagging

Complete-Life-Cycle-of-a-Data-Science-Project

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

This package extends the core file generators that are included with Laravel 5 or later.

A stable algorithm for GAN training

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

使用基于Transformer的预训练模型在ACE2005数据集上进行事件抽取任务

End-to-End Automatic Speech Recognition on PyTorch

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Latent space autoregression for novelty detection.

Self-Supervised Learning Toolbox and Benchmark

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

PyTorch Blog Post On Image Similarity Search

Understanding the Difficulty of Training Transformers

Transformers without Tears: Improving the Normalization of Self-Attention

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Natural Language Processing Tutorial for Deep Learning Researchers

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

An Implementation of 'Attention is all you need' with Chinese Corpus

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Transformers for Longer Sequences