Pinned Repositories
AdvT4NE_WWW2019
Adversarial Training Methods for Network Embedding, WWW2019.
autogluon
AutoGluon: AutoML Toolkit for Deep Learning
awesome-deep-reinforcement-learning-1
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Awesome-Efficient-PLM
Must-read papers on improving efficiency for pre-trained language models.
awesome-Large-MultiModal-Hallucination
😎 up-to-date & curated list of awesome LMM hallucinations papers, methods & resources.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
VAE-GMVAE
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
ztao1989.github.io
ztao1989's Repositories
ztao1989/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
ztao1989/VAE-GMVAE
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
ztao1989/ztao1989.github.io
ztao1989/AdvT4NE_WWW2019
Adversarial Training Methods for Network Embedding, WWW2019.
ztao1989/autogluon
AutoGluon: AutoML Toolkit for Deep Learning
ztao1989/awesome-deep-reinforcement-learning-1
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
ztao1989/Awesome-Efficient-PLM
Must-read papers on improving efficiency for pre-trained language models.
ztao1989/awesome-Large-MultiModal-Hallucination
😎 up-to-date & curated list of awesome LMM hallucinations papers, methods & resources.
ztao1989/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
ztao1989/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
ztao1989/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
ztao1989/DeepClustering
Methods and Implements of Deep Clustering
ztao1989/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ztao1989/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
ztao1989/gwl
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
ztao1989/hypergrad
Exploring differentiation with respect to hyperparameters
ztao1989/L2T_loss
simple demo codes for Learning to Teach with Dynamic Loss Functions
ztao1989/ml-from-scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
ztao1989/neural-collaborative-filtering
pytorch version of neural collaborative filtering
ztao1989/PICA
Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
ztao1989/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
ztao1989/pyvot
A Python implementation of Monge optimal transportation
ztao1989/sars_tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
ztao1989/serene-benchmark
Benchmark to evaluate schema matching approaches
ztao1989/the-gan-zoo
A list of all named GANs!
ztao1989/twostreamfusion
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.