Hyewon Jeong's repositories
6.5930_Project
Efficient Neural Architectures, Workload Mappings, and Hardware Layouts for Hyperspectral Imaging
goodviews_ecg
Finding "Good Views" of Electrocardiogram signals for Inferring Abnormalities in Cardiac Condition
100-Days-Of-ML-Code
100 Days of ML Coding
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
AI501_RobustFL
Project on Robust Federated Learning
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
bdl-benchmarks
Bayesian Deep Learning Benchmarks
CS231n_study
Group study records on Stanford University CS231n course by AI Robotics KR. Jul 2019 ~ Nov 2019
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
docta
A Doctor for your data
EEG_real_time_seizure_detection
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
mandiehyewon
Config files for my GitHub profile.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
TBc_Xray_Classification
TBc Xray Classification