Haejoong Lee's repositories
AppAgent
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
e3b
Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".
ecmwf-opendata
A package to download ECMWF open data
ExaGO
High-performance power grid optimization for stochastic, security-constrained, and multi-period ACOPF problems.
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
Gymnasium
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
HEFTcom24
Repository for the Hybrid Renewable Energy Forecasting and Trading Competition containing utilities and a "Getting Started" guide.
hyper-nn
Easy Hypernetworks in Pytorch and Jax
imp_marl
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
interpret
Fit interpretable models. Explain blackbox machine learning.
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Meta-learning-without-memorization
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
purejaxrl
Really Fast End-to-End Jax RL Implementations
rl-exploration-baselines
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
SGU_2022_NLP
자연어처리(AIE6211-01) 자료 모음
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
styleguide
Style guides for Google-originated open-source projects
Time-LLM
[ICLR 2024] Official implementation of "Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
uncertainty
Building a Bayesian deep learning models
Unity_ML_Agents_2.0
Repository for implementing Unity ML-Agents 1.0