Jonathan Choi's Projects
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
A Mapbox react native module for creating custom maps
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification
Modelverse: Content-Based Search for Deep Generative Models
Advancing Spiking Neural Networks towards Deep Residual Learning
Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
Neural Architecture Search for Spiking Neural Networks, ECCV2022
Generate and visualize your own Spiking Neural Networks
Pytorch implementation of Neural Processes for functions and images :fireworks:
Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"
Optical Flow estimation from Event cameras and Spiking Neural Networks
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Public website, hosted through GitHub pages.
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Fast Probability Computation and Visualization library in Typescript
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Quantization-aware training with spiking neural networks
Official PyTorch Implementation of SelecMix: Debiased Learning by Contradicting-pair Sampling (NeurIPS 2022)
Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
simple statistics for node & browser javascript
Threshold annealing in binarized spiking neural networks