mrkulk

Unsupervised-Capsule-Network

Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

hierarchical-deep-RL

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation

deepQN_tensorflow

Unfinished. Deep Q Learning in Tensorflow for ATARI.

MIT-Picture

A probabilistic programming language for visual scene perception

text-world

Python MUD/MUX/MUSH/MU* development system

inverse-graphics-networks

(Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network

NeuralPartialProgramSynthesis

Work in progress. Read at your own risk.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

SequenceRender

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

DeepSpeedExamples

Example models using DeepSpeed

DPT

Dense Prediction Transformers

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

franka_sim

Franka panda mujoco models

frankx

High-Level Motion Library for the Franka Panda Robot

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

libigl

Simple C++ geometry processing library.

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

mrkulk.github.io

NodeToPython

Convert Blender Geometry Nodes to a Python add-on

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

procedural_objects

blender based random procedural object generation for bullet grasping

pytorch-blender

Seamless integration of Blender into pytorch data sources

pytorch_6dof-graspnet

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

robosuite

Surreal Robotics Suite: standardized and accessible robot manipulation benchmark with physics simulation

sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

surfemb

SurfEmb (CVPR 2022)

torch7

vision

Datasets, Transforms and Models specific to Computer Vision