ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (-70.73%)
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-72.2%)
Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stars: ✭ 496 (+141.95%)
FewCLUEFewCLUE 小样本学习测评基准,中文版
Stars: ✭ 251 (+22.44%)
Accel Brain CodeThe 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 GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
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deviation-networkSource 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 pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-75.61%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+264.88%)
CsiGANAn 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 GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (-0.98%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (-70.24%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
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Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
Stars: ✭ 228 (+11.22%)
sinkhorn-label-allocationSinkhorn 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%)
GPQGeneralized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Stars: ✭ 60 (-70.73%)
oreilly-bert-nlpThis repository contains code for the O'Reilly Live Online Training for BERT
Stars: ✭ 19 (-90.73%)
MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-91.71%)
ST-CGANDataset 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%)
text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
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MMD-GANImproving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (-60%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (-71.22%)
CheXbertCombining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Stars: ✭ 51 (-75.12%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+35.12%)
BERT-QECode and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
Stars: ✭ 43 (-79.02%)
PESROfficial code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (-86.34%)
timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (-77.56%)
Cross-Speaker-Emotion-TransferPyTorch 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%)
TriB-QA吹逼我们是认真的
Stars: ✭ 45 (-78.05%)
HybridNetPytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)
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LaplacianShotLaplacian Regularized Few Shot Learning
Stars: ✭ 72 (-64.88%)
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+326.34%)
question generatorAn NLP system for generating reading comprehension questions
Stars: ✭ 188 (-8.29%)
korpatbert특허분야 특화된 한국어 AI언어모델 KorPatBERT
Stars: ✭ 48 (-76.59%)
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-90.24%)
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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path planning GANPath Planning using Generative Adversarial Network (GAN)
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sesemisupervised and semi-supervised image classification with self-supervision (Keras)
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SimPLECode for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
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text2imageNetGenerate image from text with Generative Adversarial Network
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Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-86.34%)
FewShotDetection(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"
Stars: ✭ 188 (-8.29%)
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
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pyroVEDInvariant representation learning from imaging and spectral data
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TabFormerCode & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
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ExpBERTCode for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
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CIPS-3D3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+174.15%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-91.22%)
SMILESMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
Stars: ✭ 28 (-86.34%)
DiscEvalDiscourse Based Evaluation of Language Understanding
Stars: ✭ 18 (-91.22%)