Min's Projects
A curated list of references for MLOps
A curated list of multi party computation resources and links.
A curated list of network embedding techniques.
Collection for Few-shot Learning
A topic-centric list of HQ open datasets. PR āāā
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
backup some useful commands
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Repository for benchmarking graph neural networks
TensorFlow code and pre-trained models for BERT
BERTweet: A pre-trained language model for English Tweets
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
A list of algorithms for getting insights of remote (black-box) services.
A high-performance tool for blockchain science and exploration
Some notes on things I find interesting and important.
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
BusyBox mirror
Contrastive Learning of Structured World Models
Class Activation Mapping
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Model interpretability and understanding for PyTorch
CarbonData is a new hadoop native file format for faster interactive query
COIN-OR Branch-and-Cut solver
(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
[ECCV2020] A Large-Scale Face Anti-Spoofing Dataset
Certified Removal from Machine Learning Models
node of the decentralized oracle network, bridging on and off-chain computation