Name: Elliott T. T. Abe
Type: User
Company: University of Washington
Bio: I am a postdoctoral researcher in the Brunton lab at the University of Washington studying theoretical neuroscience, machine learning, sensory-motor processing
Twitter: elliott_abe
Location: Seattle, WA
Elliott T. T. Abe's Projects
[CVPR2020] Adversarial Latent Autoencoders
Brax Rodent Run training script
MuJoCo fruit fly body model and reinforcement learning tasks
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Release for Improved Denoising Diffusion Probabilistic Models
Isaac Gym Reinforcement Learning Environments
Lucid library adapted for PyTorch
Real-time behaviour synthesis with MuJoCo, using Predictive Control
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Predictive Coding Model of Auditory Stimuli
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementations of Generative Adversarial Networks.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Code base for fitting GLMs and measuring freely moving RFs
Implementation of STAC using MJX for GPU acceleration. Part of VNL project.
[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
A dissertation LaTeX stylesheet with Markdown support for the University of Oregon using APA format (This repository is not officially associated with the University of Oregon).