579 Open source projects that are alternatives of or similar to Context-Transformer

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.

Abstractive summarisation using Bert as encoder and Transformer Decoder

One Person, One Model, One World: Learning Continual User Representation without Forgetting

resources for the IBM Airlines Table-Question-Answering Benchmark

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

NLP Paper

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Keras implementation of BERT with pre-trained weights

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Русскоязычный чат-бот для Discord на архитектуре Transformer

Transformer related optimization, including BERT, GPT

CNN histopathologic tumor identifier.

PaccMann models for protein language modeling

SOTA Semantic Segmentation Models in PyTorch

[ACL‘20] Highway Transformer: A Gated Transformer.

Adapt Transformer-based language models to new text domains

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

Basis expansion transformers in sklearn style.

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

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.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

JSON API transformer outputting valid (PSR-7) API Responses.

Predict materials properties using only the composition information!

use transfer learning to detect smoke in images and videos

No description or website provided.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Demo code for Attention-Aware Generative Adversarial Networks paper

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

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

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Implementation of the paper "End to End Learning for Self-Driving Cars"

Protein Language Model

nlp lecture-notes and source code

proc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.

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

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Several basic neural machine translation models implemented by PyTorch & TensorFlow

This repository contains code for the O'Reilly Live Online Training for BERT

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

(TPAMI2022) Salient Object Detection via Integrity Learning.

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Awesome Graph Self-Supervised Learning

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

rxjava scheduler transformer tools for android

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

A project on improving Neural Networks performance by using Genetic Algorithms.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

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

Source code for our "TitleStylist" paper at ACL 2020