Pinned Repositories
A-PGNN
Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
AcademiCodec
AcademiCodec: An Open Source Audio Codec Model for Academic Research
active-preference-based-gpr
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
ActiveWeaSuL
adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
AHGP
[NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
alpha_omok
Minimal version of DeepMind AlphaZero
dl-notes
dl-rerank
jianzhu's Repositories
jianzhu/active-preference-based-gpr
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
jianzhu/AHGP
[NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
jianzhu/align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
jianzhu/alpha_omok
Minimal version of DeepMind AlphaZero
jianzhu/bleurt
BLEURT is a metric for Natural Language Generation based on transfer learning.
jianzhu/BPT
Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
jianzhu/DenoisingRec
Adaptive Denoising Training (ADT) for Recommendation.
jianzhu/dppmapmips
MATLAB code for MAP inference for customized DPP via MIPS (AISTATS 2020)
jianzhu/DUAL
jianzhu/dualityviz
An interactive visualization of convex duality (Fenchel conjugate)
jianzhu/FeatGraph
jianzhu/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
jianzhu/ImageNet-Datasets-Downloader
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
jianzhu/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
jianzhu/KDD20-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library
jianzhu/lambda-networks
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
jianzhu/lightning-language-modeling
Language Modeling Example with Transformers and PyTorch Lighting
jianzhu/Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
jianzhu/MMGCN
MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
jianzhu/noisystudent
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
jianzhu/prml-1
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
jianzhu/PURS
jianzhu/pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
jianzhu/RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
jianzhu/sim
jianzhu/Simplified-TinyBERT
Simplified TinyBERT: Knowledge Distillation for Document Retrieval
jianzhu/SSE-PT
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
jianzhu/stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021
jianzhu/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
jianzhu/UST
Uncertainty-aware Self-training