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Maschinelles Lernen · GitHub

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

Nützliche GitHub-Projekte

9,032 Projekte

VidToMe

lixirui142

229Sterne

Official Pytorch Implementation for "VidToMe: Video Token Merging for Zero-Shot Video Editing" (CVPR 2024)

tfyolo

LongxingTan

237Sterne
tfyolo preview

tfyolo: Efficient Implementation of Yolov5 in TensorFlow

  • minimal Yolov5 by pure tensorflow2
  • yaml file to configure the model
25Sterne
SpawnDev.ILGPU.ML preview

Hardware-agnostic machine learning infrastructure for .NET. Implements high-performance neural network layers in C# that are transpiled to run on WebGPU, CUDA, OpenCL, WebGL, CPU, and Wasm via SpawnDev.ILGPU. Optimized for Blazor WebAssembly and native GPU execution.

  • One codebase, six backends. WebGPU, WebGL, WebAssembly, CUDA, OpenCL and CPU (the Velocity SIMD backend by default on 64-bit desktop). Kernels are tested on all of them.
  • Seven model formats, auto-detected. ONNX, TFLite, GGUF, SafeTensors, TensorFlow GraphDef, PyTorch checkpoints and Core ML, all lowered to one graph IR.

w-net

LouisFoucard

204Sterne

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

nb

lucasjinreal

236Sterne

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.