yaohungt

yaohungt's Stars

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.2k17816859

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9374883

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.2k47197632

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k4228185

• yaohungt/Multimodal-Transformer

  [ACL'19] [PyTorch] Multimodal Transformer

  Language:Python8371449152

• locuslab/deq

  [NeurIPS'19] Deep Equilibrium Models

  Language:Python732213079

• leftthomas/SimCLR

  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  Language:Python544736112

• locuslab/trellisnet

  [ICLR'19] Trellis Networks for Sequence Modeling

  Language:Python47222763

• facebookresearch/CPC_audio

  An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

  Language:Python355151263

• csyanbin/TPN

  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

  Language:Python2436743

• csyanbin/TPN-pytorch

  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

  Language:Python17551029

• zhongpeixiang/AI-NLP-Paper-Readings

  This is my reading list for my PhD in AI, NLP, Deep Learning and more.

  17313026

• boschresearch/BCAI_kaggle_CHAMPS

  Bosch solution to CHAMPS Kaggle competition

  Language:Python12611125

• apple/ml-capsules-inverted-attention-routing

  Language:Python12413623

• mtreviso/linear-chain-crf

  Implementation of a linear-chain CRF in PyTorch

  Language:Python962122

• csyanbin/Few-shot-Meta-learning-papers

  Recent few-shot meta-learning papers

  861105

• muqiaoy/dl_signal

  Deep Learning Model for Signal Data

  Language:Python854012

• ermongroup/smile-mi-estimator

  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

  Language:Jupyter Notebook74518

• yaohungt/Adaptive-Regularization-Neural-Network

  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN

  Language:Python675114

• yaohungt/Barlow-Twins-HSIC

  Language:Python583620

• yaohungt/TransformerDissection

  [EMNLP'19] Summary for Transformer Understanding

  53526

• yaohungt/Self_Supervised_Learning_Multiview

  Language:Python40658

• leftthomas/CapsuleLayer

  PyTorch Capsule Layer

  Language:Python32506

• yaohungt/Capsules-Inverted-Attention-Routing

  [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules

  Language:Python30104

• benrhodes26/tre_code

  Language:Python23424

• yaohungt/Pointwise_Dependency_Neural_Estimation

  Language:Python19402

• csyanbin/Semi-supervised_Neural_Network

  forked from https://github.com/jibancanyang/Semi-supervised_Neural_Network

  Language:Python4122

• csyanbin/prototypical-network-pytorch-1

  A re-implementation of "Prototypical Networks for Few-shot Learning"

  Language:Python2101

• jerrybai1995/Multimodal-Transformer

  [ACL'19] Pytorch implementation for learning Multimodal Transformer for unaligned multimodal language sequences

  Language:Python1100

• Parskatt/ml-capsules-inverted-attention-routing

  Language:Python1200