I am Yoontae Hwang 😃. I am studying at the UNIST Financial Engineering Lab as an integrated master's and doctoral program. Click my Website
- 💬 Ask me about anything an everything.
Name: Yoontae Hwang
Type: User
Bio: Hello there, I am Yoontae 😃
I am Yoontae Hwang 😃. I am studying at the UNIST Financial Engineering Lab as an integrated master's and doctoral program. Click my Website
A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
FinRL: Financial Reinforcement Learning. 🔥
Training Recurrent Neural Networks via Forward Propagation Through Time
Tensorflow Implement of GeoMAN, IJCAI-18
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
Pytorch implementation of Maintaining Discrimination and Fairness in Class Incremental Learning
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
Contains all important data structure and algorithms problems asked in interviews
Computational Fluid Dynamics in JAX
LibMTL: A PyTorch Library for Multi-Task Learning
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡
Simple llama usage example
Code for "Neural Stochastic Differential Gaems for Time-series Analysis"
Multivariate Time series interpolation using hierarchical mixed effects models.
Experiments for Neural Flows paper
Improving Household Financial Health through Deep Learning and Statistical Arbitrage Strategies; PhD Thesis
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
EPFL Course - Optimization for Machine Learning - CS-439
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
Point processes backed by neural net intensity models
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.