Pinned Repositories
DRL_robot_exploration
Robot Exploration with Deep Reinforcement Learning
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
inference
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
kd-tree-javascript
JavaScript k-d Tree Implementation
lab2
mediawiki
A MediaWiki API wrapper for Go
ottojursch.github.io
personal website
platforming-game
A side-scrolling platformer with a polandball theme featuring a learning level generation system ("hopefully" - Otto Jursch 2016).
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
todo-queue
OttoJursch's Repositories
OttoJursch/todo-queue
OttoJursch/DRL_robot_exploration
Robot Exploration with Deep Reinforcement Learning
OttoJursch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
OttoJursch/inference
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
OttoJursch/kd-tree-javascript
JavaScript k-d Tree Implementation
OttoJursch/lab2
OttoJursch/mediawiki
A MediaWiki API wrapper for Go
OttoJursch/ottojursch.github.io
personal website
OttoJursch/platforming-game
A side-scrolling platformer with a polandball theme featuring a learning level generation system ("hopefully" - Otto Jursch 2016).
OttoJursch/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
OttoJursch/rust-mavlink
MAVLink library for Rust.
OttoJursch/Scripts
Various bash scripts that I have wrote to automate various processes.
OttoJursch/testpermissions
OttoJursch/TodoQueue
OttoJursch/toolz
A functional standard library for Python.
OttoJursch/WikiGame
Sets up website to play the wiki game