mj-hwang Goto Github PK
Name: Minjune Hwang
Type: User
Bio: MSCS student @ Stanford interested in learning-based control and offline reinforcement learning.
Location: Stanford, CA
Name: Minjune Hwang
Type: User
Bio: MSCS student @ Stanford interested in learning-based control and offline reinforcement learning.
Location: Stanford, CA
A project on predicting whether breast cancer (tumor) is benign or malignant
CV, NLP, and RL projects in CS 182: Designing, Visualizing and Understanding DNNs (spring 2020)
Optimal Control, Reinforcement Learning & Robotics Projects in CS 287: Advanced Robotics (fall 2019)
An offline deep reinforcement learning library
this is a demo repo
Mastering Diverse Domains through World Models
RL & Control Agents for OpenAI Gym Environments
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
Diverse approaches to classify MNIST fashion dataset and comparison of them
Offline Reinforcement Learning for Training Autonomous Vehicles
Offline RL algoritms implemented in Stable Baselines3 (pytorch)
OmniGibson + robomimic
Pure Python, cross platform, single function module with no dependencies for playing sounds.
Implementation and Example of decision tree and random forest for spam email detection.
Codebase for RescueBot
SEED: Primitive Skill-Based Robot Learning from Human Evaluative Feedback
snippet for estimating parameters for various models using stochastic gradient descent
Forked from https://github.com/daattali/beautiful-jekyll
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Course materials for Stat 133, Fall 2018, at UC Berkeley
An application of RL & Control agents in different traffic environments (highway, parking, etc)
Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
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.