595 Open source projects that are alternatives of or similar to Transformer_Temporal_Tagger

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

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[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

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

Corpus of Online Medical EnTities: the cometA corpus

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

Theano implementation of Sequence-to-Sequence Autoencoder

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Zero -- A neural machine translation system

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Production First and Production Ready End-to-End Speech Recognition Toolkit

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Implementation of Linformer for Pytorch

将微信小程序的wxml代码转换成js object或html片段

Trax — Deep Learning with Clear Code and Speed

AdaSpeech: Adaptive Text to Speech for Custom Voice

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PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

PaccMann models for protein language modeling

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

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

Mutate Laravel attributes

Official PyTorch implementation of SegFormer

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

SOTA Semantic Segmentation Models in PyTorch

Production First and Production Ready End-to-End Speech Recognition Toolkit

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Financial Domain Question Answering with pre-trained BERT Language Model

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

Import SVG files in your React Native project the same way that you would in a Web application.

Running BERT without Padding

Personalizing Dialogue Agents via Meta-Learning

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

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Code for the CHAMPS Predicting Molecular Properties Kaggle competition

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Basis expansion transformers in sklearn style.

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

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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

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Build English-Vietnamese machine translation with ProtonX Transformer. :D

TianChi AIEarth Contest Solution

Easy to use NLP library built on PyTorch and TorchText

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

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

Typescript Transform Macros

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

a simple and complete pytorch implementation of neural machine translation system

2018-JDDC大赛第4名的解决方案