keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (+10%)
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (+65%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+295%)
mcQA🔮 Answering multiple choice questions with Language Models.
Stars: ✭ 23 (+15%)
CariMe-pytorchUnpaired Caricature Generation with Multiple Exaggerations (TMM 2021)
Stars: ✭ 33 (+65%)
videoDCGANImplementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
Stars: ✭ 14 (-30%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (+25%)
DAF3DDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Stars: ✭ 60 (+200%)
label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
Stars: ✭ 117 (+485%)
gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
Stars: ✭ 23 (+15%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-5%)
scrabble-ganAdversarial Generation of Handwritten Text Images
Stars: ✭ 49 (+145%)
visdialVisual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)
Stars: ✭ 27 (+35%)
text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Stars: ✭ 15 (-25%)
ELMO-NLPELMO在QA问答,文本分类等NLP上面的应用
Stars: ✭ 15 (-25%)
enformer-pytorchImplementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Stars: ✭ 146 (+630%)
pytorch ganSpectral Normalization and Projection Discriminator
Stars: ✭ 16 (-20%)
tganThe implementation of Temporal Generative Adversarial Nets with Singular Value Clipping
Stars: ✭ 70 (+250%)
gan-qp.pytorchUnofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
Stars: ✭ 26 (+30%)
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (+165%)
td-regTD-Regularized Actor-Critic Methods
Stars: ✭ 28 (+40%)
CoronaXivFirst Prize in HackJaipur Hackathon 2020 for Best ElasticSearch-based Product! Website: http://coronaxiv2.surge.sh/#/
Stars: ✭ 15 (-25%)
bert-AADAdversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
Stars: ✭ 27 (+35%)
Transformers-TutorialsThis repository contains demos I made with the Transformers library by HuggingFace.
Stars: ✭ 2,828 (+14040%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (+135%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (+90%)
Kevinpro-NLP-demoAll 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
Stars: ✭ 117 (+485%)
SSVEP-Neural-Generative-ModelsCode to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Stars: ✭ 37 (+85%)
GraphCNN-GANGraph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Stars: ✭ 50 (+150%)
TRPO-TensorFlowTrust Region Policy Optimization (TRPO) in pure TensorFlow
Stars: ✭ 17 (-15%)
NAG-BERT[EACL'21] Non-Autoregressive with Pretrained Language Model
Stars: ✭ 47 (+135%)
FinBERTA Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Stars: ✭ 193 (+865%)
wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Stars: ✭ 39 (+95%)
tfjs-ganSimple GAN example using tensorflow JS core
Stars: ✭ 56 (+180%)
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+225%)
thesis template ntuThesis Latex Template for Nanyang Technological University (NTU)
Stars: ✭ 78 (+290%)
OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 293 (+1365%)
visualizationa collection of visualization function
Stars: ✭ 189 (+845%)
Child-Face-GenerationDeep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces
Stars: ✭ 26 (+30%)