eccmyang Goto Github PK
Name: cyang
Type: User
Bio: I received an MSc in Electronic Engineering from the National Kaohsiung University of Science and Technology. Interested in ML, DL, and NLP.
Location: Taiwan
Name: cyang
Type: User
Bio: I received an MSc in Electronic Engineering from the National Kaohsiung University of Science and Technology. Interested in ML, DL, and NLP.
Location: Taiwan
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Free 2D symbols for computer network diagrams
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Web scraping using API.
Automatic architecture search and hyperparameter optimization for PyTorch
Automated Machine Learning with Auto-Keras, Published by Packt
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A curated list of CTF frameworks, libraries, resources and softwares
Data Centric AI resources
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
陽明交通大學在2022年11月要砍掉校友的Gsuite帳號雲端硬碟容量到5 GB,本專案用自動化程式下載雲端硬碟並整理資料夾。
Implementation of decentralized optimization coordinated on Ethereum
Chaotic attractors (Lorenz, Rossler, Rikitake etc.)
Technical Analysis on Cryptocurrency
Weak Supervision in the Age of Transfer Learning for Natural Language Processing
This code calculates all the variations of 3D polycubes for any size (time permitting!)
code for Data Science From Scratch book
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
A Tutorial on Deep Reinforcement Learning in PyTorch
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Energy Blockchain demo prototype for research
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Text mining of arxiv.org articles
Jadavpur University Movie Recommendation Database for Sentiment Analysis
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
A learning curve benchmark on OpenML data
Repository for the paper "Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files" published in Applied Sciences, MDPI
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.