WilliamYi96/CS_Learning

Stars
9
Rank 1,939,727 (Top 39 %)
Language
HTML
License
MIT License
Created over 7 years ago
Updated almost 7 years ago

WilliamYi96/CS_Learning

WilliamYi96

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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

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

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.