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Name: Isaac T. Nicholaus
Type: User
Company: Dongseo Unv.
Bio: Ph.D , DSU Department of Computer Engineering (Lab AI), 2021~2024
Location: Busan South Korea
Name: Isaac T. Nicholaus
Type: User
Company: Dongseo Unv.
Bio: Ph.D , DSU Department of Computer Engineering (Lab AI), 2021~2024
Location: Busan South Korea
Use unsupervised and supervised learning to predict stocks
Agent Learning Framework https://alf.readthedocs.io
Ant Design for Alipay Mini Program
Automated deep learning algorithms implemented in PyTorch.
AutoML using AutoGluon Package
Curating a list of AutoML-related research, tools, projects and other resources
A curated list of resources about few-shot and one-shot learning
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A Baby Robot's Guide to Reinforcement Learning
Building Data Science Applications with FastAPI, Published by Packt
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Computer Vision Class At Dongseo University
Master's Degree class 2020, at 3rd semester (Dongseo University), Instructor: Lee Byung Gook, Professor
List of Computer Science courses with video lectures.
Double Deep Q-Learning with Prioritized Experience Replay
Videos, notes and experiments to understand deep learning
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Keras code and weights files for popular deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repo for the Deep Reinforcement Learning Nanodegree program
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.
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Meant to work with OpenCV
Django with Python and Javascript
A library for easily evaluating machine learning models and datasets.
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.