Discover @WilliamYi96 Open Source projects

Kai Yi (@WilliamYi96)

WilliamYi96

Stars
344
Global Rank 79,692 (Top 3 %)
Followers 76
Registered over 8 years ago
Most used languages

Python
29.4 %

TeX
29.4 %

Java
11.8 %

Jupyter Notebook
11.8 %

HTML
11.8 %

VHDL 5.9 %
Location 🇸🇦 Saudi Arabia
Country Total Rank 29
Country Ranking

TeX
1

VHDL 1

HTML
9

Java
14

Python
43

Jupyter Notebook
67

Awesome-Zero-Shot-Learning

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

SIFT-BoF

Feature extraction by using SITF+BoF.

HGR-Net

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.

Variational-Inference

Generative Models

awesome-continual-zero-shot-learning

A curated list of resources on continual zero-shot learning

Machine-Learning

A brief summary of machine learning studies.

Android

Android fundamental tools.

Humanities-and-Social-Sciences

My notes of learning in all aspects.

Biological-Network-Alignment-public

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

DeepCamera

An android app with machine learning.

homepage-old

CS_Learning

This is all my summary and harvests of Computer Science learning.

SimpleComputer

The design and implementation of simple computer by quartus.

VAE

Variational Autoencoders: Tutorial and Examples

fancyweather

This is a weather broadcast app created by William Yi!

Algorithms-and-Data-Structures

My new systematic learning procedure of algorithms and Data Structures.

AndroidSystemTransplant

Transplant Android 2.0 platform to Android 4.0 by using EMBV210.

Deep-Reinforcement-Learning

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

Awesome-Energy-Based-Models

A curated list of resources on energy-based models.

BotXiaoTong

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

Scafflix

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

Jupyter Notebook

ACM-ICPC

Pursure what you want and do all what only you can do!

VR-ProxSkip

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS, 2022

Jupyter Notebook

EF-BV

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

Awesome-Federated-Learning

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

Python-Examples

WilliamYi96

Written-Papers-Public

Written-Papers-Public

EFBV_Nonconvex

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