mandiehyewon Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

6.5930_project

Efficient Neural Architectures, Workload Mappings, and Hardware Layouts for Hyperspectral Imaging

6.s091_causality

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

ai501_robustfl

Project on Robust Federated Learning

ai502

AI502 Assignment

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

bdl-benchmarks

Bayesian Deep Learning Benchmarks

clocs

PyTorch code for self-supervised pre-training of networks with CLOCS

cs231n_study

Group study records on Stanford University CS231n course by AI Robotics KR. Jul 2019 ~ Nov 2019

cs548

CS548 Course Assignment

cs576

CS576 Assignment

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)

goodviews_ecg

Finding "Good Views" of Electrocardiogram signals for Inferring Abnormalities in Cardiac Condition

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

mandiehyewon

Config files for my GitHub profile.

medicaltimeseries

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).

nsqip_analysis

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 ;)

punet_lidc

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

simifeat

ssldml

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals (MLHC 2023)

tbc_xray_classification

TBc Xray Classification

tpamtl

Official implementation of Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning (AAAI 2021).