yusukeurakami

dreamer-pytorch

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

plan2explore-pytorch

mujoco_2d_projection

Tool kit for the Mujoco user

blue_soylent

pytorch-dense-correspondence

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

ControlNet

Let us control diffusion models!

ControlNet-v1-1-nightly

Nightly release of ControlNet 1.1

controlNetInpaint

COTR

Code release for "COTR: Correspondence Transformer for Matching Across Images"(ICCV 2021)

cudnn

d4pg-pytorch

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients (https://arxiv.org/abs/1804.08617)

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

DoorGym

Open source domain randomized door opening training environment

easy_handeye

Automated, hardware-independent Hand-Eye Calibration

env2gym

OpenAI Gym wrapper for the DeepMind Control Suite/PyBullet

gpt-playground

initial_setup

OpenSynthrain

Program for generating synthetic raindrops on real images. Used for generating datasets for the paper "Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks."

python-formatter

pytorch-a2c-ppo-acktr-gail

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).

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

rainbow-playground

ravens-1

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

sac-gym-playground

slac-playground

synthrain_1804

temper

Simple python for accessing TEMPer USB thermometers

textual_inversion

vimrc

The ultimate Vim configuration (vimrc)

yusukeurakami.github.io

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