979 Open source projects that are alternatives of or similar to ganbert-pytorch

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Listing my favorite research papers 📝 from different fields as I read them.

Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.

Natural Language Processing for Lithuanian language

국방 리스크 관리 플랫폼 (🏅 국방부장관상/Minister of National Defense Award)

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

[AAAI 2021] TextWiser: Text Featurization Library

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Two-stage GANs that generate fingerstyle guitarist images from audio.

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

Official implementation of "Explicit Interaction Model towards Text Classification"

[Tutorial] Demystifying Natural Language Processing with Python

Natural language understanding library for chatbots with intent recognition and entity extraction.

This repository contains a new adversarial training method for Generative Conversational Agents

Unofficial pytorch implementation of algorithms for domain adaptation

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

No description or website provided.

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

A comprehensive tool for linguistic analysis of communities

StyleGAN Encoder - converts real images to latent space

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

JCLAL is a general purpose framework developed in Java for Active Learning.

Pytorch implementation of CycleGAN.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Relation Classification - SEMEVAL 2010 task 8 dataset

Curated list of all NLP Resources

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

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

Chef Transformer 🍲 .

Semi-Supervised Learning and Collective Classification

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

✔️Contextual word checker for better suggestions

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

🤖A list of resources to help anyone getting started with GANs 🤖

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Joint Semi-supervised Learning of Image Registration and Segmentation

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Text classification meets word embeddings.

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Simple code implement the paper of CartoonGAN(CVPR2018)

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

cRNN-GAN to generate music by training on instrumental music (midi)

No description or website provided.

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

A 1D toy example of optimizing a generative model using the WGAN-GP model.