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Maschinelles Lernen · GitHub

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

Nützliche GitHub-Projekte

4,743 Projekte

Girls-In-AI

girls-in-ai

3,426Sterne+2in 24h
Girls-In-AI preview

免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

57Sterne+2in 24h

Gibt Bewegungshinweise für Tartarus Prison in Torchlight: Infinite. Ein Overlay liest den Bildschirm und das Spiellog aus, um das Spielfeld zu lösen.

  • The game's rules: all 31 Torture Instruments, the 17 Prison Incidents, the Objectives, the run themes (Tyranny, Opulence, Iron Law, Cage Fight), Rat Nests, Tusk and Prey marks, Scratch Marks.
  • The solver: a determinized Monte Carlo search (what's hidden behind doors is drawn again for every playout: no peeking): the playouts' moves by a small policy network trained on the search's own choices, a small value network at their horizon.

coralnpu

google-coral

2,687Sterne+2in 24h
coralnpu preview

A machine learning accelerator core designed for energy-efficient AI at the edge.

  • RV32IMF_Zve32x RISC-V instruction set (specifically rv32imf_zve32x_zicsr_zifencei_zbb)
  • 32-bit address space for applications and operating system kernels
Maschinelles LernenEmacs LispApache-2.0GitHub

Objectron

google-research-datasets

2,362Sterne+2in 24h
Objectron preview

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

  • 15000 annotated videos and 4M annotated images
  • All samples include high-res images, object pose, camera pose, point-cloud, and surface planes.
2,159Sterne+2in 24h

Gin provides a lightweight configuration framework for Python

  • Automatic logging of all configured parameter values (the "operative config"), including TensorBoard integration.
  • "Macros", to specify a value used in multiple places within a config, as well as Python-defined constants.

NextTransformer

Interactive-Active-AI

407Sterne+2in 24h
NextTransformer preview

:sunrise: Ein umfassendes, hochmodernes Open-Source-Framework für Transformer der nächsten Generation, mit Benchmarks bei angeglichenem Rechenaufwand und einer Plattform für die autonome Architekturforschung.