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Maschinelles Lernen · GitHub

Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.

Nützliche GitHub-Projekte

7,589 Projekte
35Sterne
ride-demand-forecaster preview

Bike-share demand forecasting: RMSE compared across raw, encoded, scaled and engineered features.

  • hour - Hour of day (0 to 23) from timestamp
  • day_of_week - Day of week (0 is Monday)

GRU4Rec

hidasib

817Sterne
GRU4Rec preview

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

912Sterne

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Maschinelles LernenJupyter NotebookMITGitHub

k8s-ai-runtime

Himanshu-giri-01

53Sterne
k8s-ai-runtime preview

Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026

  • Declarative Task Graphs — Compose pipelines from Python functions using a fluent builder that compiles to Kubernetes Job specifications.
  • Multi-Runtime Backends — Execute on plain pods, KubeVirt VMs, or serverless runtimes with a single toggle.