All Projects → ganbert → Similar Projects or Alternatives

747 Open source projects that are alternatives of or similar to ganbert

ganbert-pytorch
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (-70.73%)
protonet-bert-text-classification
finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet
Stars: ✭ 28 (-86.34%)
Mutual labels:  bert, few-shot-learning
Acgan Pytorch
Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-72.2%)
Ssgan Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stars: ✭ 496 (+141.95%)
FewCLUE
FewCLUE 小样本学习测评基准,中文版
Stars: ✭ 251 (+22.44%)
Mutual labels:  bert, few-shot-learning
Accel Brain Code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (-19.02%)
Sparsely Grouped Gan
Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-66.83%)
deviation-network
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Stars: ✭ 94 (-54.15%)
catgan pytorch
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-75.61%)
Gans In Action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+264.88%)
CsiGAN
An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
Stars: ✭ 23 (-88.78%)
Triple Gan
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (-0.98%)
Ali Pytorch
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (-70.24%)
ADL2019
Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-90.24%)
Improvedgan Pytorch
Semi-supervised GAN in "Improved Techniques for Training GANs"
Stars: ✭ 228 (+11.22%)
sinkhorn-label-allocation
Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
Stars: ✭ 49 (-76.1%)
GPQ
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Stars: ✭ 60 (-70.73%)
Mutual labels:  semi-supervised-learning
oreilly-bert-nlp
This repository contains code for the O'Reilly Live Online Training for BERT
Stars: ✭ 19 (-90.73%)
Mutual labels:  bert
MAD-GAN-MLCAMP
Repository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-91.71%)
exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
Stars: ✭ 76 (-62.93%)
Mutual labels:  semi-supervised-learning
ST-CGAN
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 64 (-68.78%)
bert for corrector
基于bert进行中文文本纠错
Stars: ✭ 199 (-2.93%)
Mutual labels:  bert
text2image-benchmark
Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
Stars: ✭ 25 (-87.8%)
MMD-GAN
Improving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (-60%)
Img2Img-Translation-Networks
Tensorflow implementation of paper "unsupervised image to image translation networks"
Stars: ✭ 67 (-67.32%)
Deep-Learning-Pytorch
A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (-71.22%)
CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Stars: ✭ 51 (-75.12%)
Mutual labels:  bert
progressive growing of GANs
Pure tensorflow implementation of progressive growing of GANs
Stars: ✭ 31 (-84.88%)
Pytorch models
PyTorch study
Stars: ✭ 14 (-93.17%)
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+35.12%)
BERT-QE
Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
Stars: ✭ 43 (-79.02%)
Mutual labels:  bert
PESR
Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (-86.34%)
timegan-pytorch
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (-77.56%)
Cross-Speaker-Emotion-Transfer
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Stars: ✭ 107 (-47.8%)
Mutual labels:  semi-supervised-learning
TriB-QA
吹逼我们是认真的
Stars: ✭ 45 (-78.05%)
Mutual labels:  bert
HybridNet
Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)
Stars: ✭ 16 (-92.2%)
Mutual labels:  semi-supervised-learning
LaplacianShot
Laplacian Regularized Few Shot Learning
Stars: ✭ 72 (-64.88%)
Mutual labels:  few-shot-learning
hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+326.34%)
question generator
An NLP system for generating reading comprehension questions
Stars: ✭ 188 (-8.29%)
Mutual labels:  bert
korpatbert
특허분야 특화된 한국어 AI언어모델 KorPatBERT
Stars: ✭ 48 (-76.59%)
Mutual labels:  bert
BERT-chinese-text-classification-pytorch
This repo contains a PyTorch implementation of a pretrained BERT model for text classification.
Stars: ✭ 92 (-55.12%)
Mutual labels:  bert
Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Stars: ✭ 151 (-26.34%)
Mutual labels:  semi-supervised-learning
emotion-recognition-GAN
This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-90.24%)
Mutual labels:  semi-supervised-learning
gan deeplearning4j
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (-90.73%)
path planning GAN
Path Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (-82.44%)
sesemi
supervised and semi-supervised image classification with self-supervision (Keras)
Stars: ✭ 43 (-79.02%)
Mutual labels:  semi-supervised-learning
SimPLE
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
Stars: ✭ 50 (-75.61%)
Mutual labels:  semi-supervised-learning
text2imageNet
Generate image from text with Generative Adversarial Network
Stars: ✭ 26 (-87.32%)
Transformer-QG-on-SQuAD
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-86.34%)
Mutual labels:  bert
FewShotDetection
(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"
Stars: ✭ 188 (-8.29%)
Mutual labels:  few-shot-learning
progressive-growing-of-gans.pytorch
Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Stars: ✭ 51 (-75.12%)
TF2-GAN
🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (-70.24%)
pyroVED
Invariant representation learning from imaging and spectral data
Stars: ✭ 23 (-88.78%)
Mutual labels:  semi-supervised-learning
TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Stars: ✭ 209 (+1.95%)
Mutual labels:  bert
ExpBERT
Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
Stars: ✭ 28 (-86.34%)
Mutual labels:  bert
CIPS-3D
3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+174.15%)
DCGAN-CIFAR10
A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-91.22%)
SMILE
SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
Stars: ✭ 28 (-86.34%)
DiscEval
Discourse Based Evaluation of Language Understanding
Stars: ✭ 18 (-91.22%)
Mutual labels:  bert
Introduction-to-Deep-Learning-and-Neural-Networks-Course
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Stars: ✭ 33 (-83.9%)
1-60 of 747 similar projects