weidler

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Language:PythonApache-2.03192600

orrb

Code for the paper "OpenAI Remote Rendering Backend"

Language:C#NOASSERTION24200

Qogir-theme

Qogir is a flat Design theme for GTK

Language:CSSGPL-3.0151500

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonMIT1549100

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonNOASSERTION3418500

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Language:PythonMIT276200

semlc

Biologically Inspired Lateral Connectivity in Convoluiontal Neural Networks

Language:PythonMIT100

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Language:Jupyter NotebookMIT1006000

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Language:Jupyter Notebook298600

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Language:Jupyter NotebookApache-2.0327000

Stacer

Linux System Optimizer and Monitoring - https://oguzhaninan.github.io/Stacer-Web

Language:C++GPL-3.0880300

RLaSpa

Reinforcement Learning in Latent Space

Language:PythonMIT500

arc-kde

Arc KDE customization

Language:QMLGPL-3.089900