Kai Yi (@WilliamYi96)
github

WilliamYi96

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Top repositories

1

Awesome-Zero-Shot-Learning

Latest progresses (papers & datasets) of zero-shot learning.
81
star
2

SIFT-BoF

Feature extraction by using SITF+BoF.
Python
22
star
3

HGR-Net

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.
Python
17
star
4

Variational-Inference

Generative Models
17
star
5

awesome-continual-zero-shot-learning

A curated list of resources on continual zero-shot learning
17
star
6

Machine-Learning

A brief summary of machine learning studies.
TeX
16
star
7

Android

Android fundamental tools.
Java
15
star
8

Humanities-and-Social-Sciences

My notes of learning in all aspects.
TeX
15
star
9

Biological-Network-Alignment-public

Graph Theory Applied to Biological Network Alignment. Motivated by Professor Hayes.
12
star
10

DeepCamera

An android app with machine learning.
TeX
11
star
11

homepage-old

HTML
9
star
12

SimpleComputer

The design and implementation of simple computer by quartus.
VHDL
9
star
13

CS_Learning

This is all my summary and harvests of Computer Science learning.
HTML
9
star
14

VAE

Variational Autoencoders: Tutorial and Examples
Python
8
star
15

fancyweather

This is a weather broadcast app created by William Yi!
Java
8
star
16

Algorithms-and-Data-Structures

My new systematic learning procedure of algorithms and Data Structures.
TeX
8
star
17

AndroidSystemTransplant

Transplant Android 2.0 platform to Android 4.0 by using EMBV210.
7
star
18

Deep-Reinforcement-Learning

My harvests, summaries and paper reading about Deep Reinforcement Learning.
7
star
19

Awesome-Energy-Based-Models

A curated list of resources on energy-based models.
6
star
20

BotXiaoTong

This is our bot based on Microsoft Bot Framework and Cognitive Services.
5
star
21

Scafflix

Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. arXiv, 2023
Jupyter Notebook
4
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22

ACM-ICPC

Pursure what you want and do all what only you can do!
3
star
23

VR-ProxSkip

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS, 2022
Jupyter Notebook
3
star
24

EF-BV

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022
Python
2
star
25

Awesome-Federated-Learning

A curated list of resources on federated learning, especially focusing on the theoretical perspectives.
2
star
26

Python-Examples

Python
1
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27

Written-Papers-Public

Written-Papers-Public
1
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28

WilliamYi96

1
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29

EFBV_Nonconvex

A Unified Theory of Error Feedback and Variance Reduction for Non-Convex Optimization.
TeX
1
star