mrkulk
Neural networks, inverse graphics, reinforcement learning, 3D
Common Sense Machines (https://www.csm.ai/)Cambridge, USA
Pinned Repositories
deepQN_tensorflow
Unfinished. Deep Q Learning in Tensorflow for ATARI.
hierarchical-deep-RL
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
inverse-graphics-networks
(Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
Julia-Torch
Interface between Julia and Torch (Lua) using ZMQ
MIT-Picture
A probabilistic programming language for visual scene perception
NeuralPartialProgramSynthesis
Work in progress. Read at your own risk.
SequentialInference
Dirichlet Process Mixture using PVI, SMC, Variational
SparseAutoEncoder
SparseAutoEncoder - Unsupervised Learning
text-world
Python MUD/MUX/MUSH/MU* development system
Unsupervised-Capsule-Network
Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
mrkulk's Repositories
mrkulk/Unsupervised-Capsule-Network
Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
mrkulk/deepQN_tensorflow
Unfinished. Deep Q Learning in Tensorflow for ATARI.
mrkulk/hierarchical-deep-RL
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
mrkulk/text-world
Python MUD/MUX/MUSH/MU* development system
mrkulk/MIT-Picture
A probabilistic programming language for visual scene perception
mrkulk/inverse-graphics-networks
(Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
mrkulk/NeuralPartialProgramSynthesis
Work in progress. Read at your own risk.
mrkulk/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
mrkulk/SequenceRender
mrkulk/dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
mrkulk/DeepSpeedExamples
Example models using DeepSpeed
mrkulk/DPT
Dense Prediction Transformers
mrkulk/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
mrkulk/franka_sim
Franka panda mujoco models
mrkulk/frankx
High-Level Motion Library for the Franka Panda Robot
mrkulk/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
mrkulk/libigl
Simple C++ geometry processing library.
mrkulk/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/mrkulk.github.io
mrkulk/NodeToPython
Convert Blender Geometry Nodes to a Python add-on
mrkulk/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
mrkulk/procedural_objects
blender based random procedural object generation for bullet grasping
mrkulk/pytorch-blender
Seamless integration of Blender into pytorch data sources
mrkulk/pytorch_6dof-graspnet
mrkulk/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.
mrkulk/robosuite
Surreal Robotics Suite: standardized and accessible robot manipulation benchmark with physics simulation
mrkulk/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.
mrkulk/surfemb
SurfEmb (CVPR 2022)
mrkulk/torch7
mrkulk/vision
Datasets, Transforms and Models specific to Computer Vision