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Build and run containers leveraging NVIDIA GPUs
A component-based software defined networking framework for OpenStack. Mirror of code maintained at opendev.org.
Linux System Optimizer and Monitoring - https://oguzhaninan.github.io/Stacer-Web
Flask Soft Dashboard - Open-Source Starter | App-Generator.dev
Repository tracking all OpenStack repositories as submodules. Mirror of code maintained at opendev.org.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The fundamental package for scientific computing with Python.
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
Examples and guides for using the OpenAI API
A library of reinforcement learning components and agents
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Efficiently computes derivatives of NumPy code.
Advanced Deep Learning with Python by Packt Publishing
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
High-Resolution Image Synthesis with Latent Diffusion Models
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Implementation of Python 3.x for .NET Framework that is built on top of the Dynamic Language Runtime.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and T…