Instassa

SIDE-GAN-Pytorch

This is the accompanying code for the paper 'Adversarial Generation of Informative Trajectories for Dynamics System Identification', published in IEEE iROS2020

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DREAM-DCGAN-for-Baxter-unconditional-trajectories

22.12.2017 DREAM report: This module would take Baxter trajectories produced by quality diversity (QD) search and generate new trajectories based on these.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Hands-On-Generative-Adversarial-Networks-with-PyTorch-2.x_Second-Edition

HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

images2gif

images2gif.py for Python 3

instassa.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

VAERR_SelfSupervisedVE

Self-Supervised Apparent Emotion Recognition from Video

video-diffusion-pytorch-modified

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch