jdubkim Goto Github PK

3d-machine-learning

A resource repository for 3D machine learning

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

chessllm

competition_submission_template

The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!

dreamer-pytorch

dreamerv2

Mastering Atari with Discrete World Models

explainable-director

Deep Hierarchical Planning from Pixels

explainable-hierarchical-planning

Final Year Project - Explainable model-based hierarchical reinforcement learning

expressive-resume

A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

hierarchicalrl

Implementations of hierarchical RL papers.

instrument-controlling-software

interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

jdubkim

Config files for my GitHub profile.

jdubkim.github.io

Jekyll Theme

learn-reinforcement-learning

A series of learning reinforcement learning algorithms. Each jupyter notebook file includes algorithm, explanation, code for training and evaluation.

lifesaver

Life saving twitter bot

llm-alignment

LLM Alignment

machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

minerl

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

mml-autumn-2022

Materials for Autumn 2022 Mathematics for Machine Learning course.

my-vimrc

option-critic-pytorch

PyTorch implementation of the Option-Critic framework, Harb et al. 2016

option-critic-torch

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

ppo-from-scratch

Implementing PPO based on Coast Huang's PPO Implementation tutorial (Link: https://iclr-blog-track.github.io/2022/03/25/ppo-implementation-details/)

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorchrl

Implementations of RL algorithms using Pytorch

reinforcement-learning-from-scratch