Maschinelles Lernen · GitHub

Data-Science-Roadmap von A bis Z

NMA Computational Neuroscience course

Code for Tensorflow Machine Learning Cookbook

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TensorFlow.js.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

StyleGAN - Official TensorFlow Implementation

Our first fully AI generated deep learning system

Official repository of the xLSTM.

Framework-unabhängige Inferenz mit Slicing und Kachelung, interaktive Benutzeroberfläche und Fehleranalyse-Diagramme

🌊 Online machine learning in Python

• Linear models, with a wide array of optimizers
• Decision trees and random forests

A collection of pre-trained, state-of-the-art models in the ONNX format

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

Instant Kubernetes-Native Application Observability

Bibliothek für Graph-Neuronale Netze für PyTorch

• Easy-to-use and unified API: All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). PyG is PyTorch-on-the-rocks: It utilizes a tensor-centric API and keeps design principles close to vanilla PyTorch. If you are already familiar with PyTorch, utilizing PyG is straightforward.
• Comprehensive and well-maintained GNN models: Most of the state-of-the-art Graph Neural Network architectures have been implemented by library developers or authors of research papers and are ready to be applied.