Name: Jonathan Choi
Type: User
Company: AIIS - Artificial Intelligence Institute of SNU
Bio: Artificial Intelligence for All Beings
Location: Seoul National University, Republic of Korea
Blog: https://conscious-choi.github.io
Jonathan Choi's Projects
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
Simulation of spiking neural networks (SNNs) using PyTorch.
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
code for reproducing some of the diagrams in the paper "Multimodal Neurons in Artificial Neural Networks"
Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
Config files for my GitHub profile.
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
Cosyne workshop tutorial 2022
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Denoising Diffusion Probabilistic Models
Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
Code for paper `Improving the Fairness of Deep Generative Models without Retraining`
Create UIs for your machine learning model in Python in 3 minutes
🔥Official PyTorch Implementation for CVPR'23 "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"
A toolkit for developing and comparing reinforcement learning algorithms.
GUI Playground for @gymnasium environments
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
High-Resolution Image Synthesis with Latent Diffusion Models
To appear in the 11th International Conference on Learning Representations (ICLR 2023).
[ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
Fast Linear Algebra Computation & Visualization Library in Typescript
Code for visualizing the loss landscape of neural nets
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)