Kai Yi's Projects
Pursure what you want and do all what only you can do!
My new systematic learning procedure of algorithms and Data Structures.
Android fundamental tools.
Transplant Android 2.0 platform to Android 4.0 by using EMBV210.
A curated list of resources on continual zero-shot learning
A curated list of resources on energy-based models.
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
A curated list of resources on federated learning, especially focusing on the theoretical perspectives.
Latest progresses (papers & datasets) of zero-shot learning.
Graph Theory Applied to Biological Network Alignment. Motivated by Professor Hayes.
Contributer, Object Recognition by using BoF+SVM
This is our bot based on Microsoft Bot Framework and Cognitive Services.
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Creativity Inspired Zero-Shot Learning
Contrastive Language-Image Pretraining
Quiz & Assignment of Coursera
This is all my summary and harvests of Computer Science learning.
Official code for "Towards Recognizing Unseen Categories in Unseen Domains"
My harvests, summaries and paper reading about Deep Reinforcement Learning.
An android app with machine learning.
Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022
A Unified Theory of Error Feedback and Variance Reduction for Non-Convex Optimization.
This is a weather broadcast app created by William Yi!
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation