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머신러닝 · GitHub

모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.

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8,020 프로젝트

psgd_torch

lixilinx

208스타

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)

208스타

Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

25스타
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

204스타

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

머신러닝Jupyter NotebookGitHub

choix

lucasmaystre

207스타

Inference algorithms for models based on Luce's choice axiom

머신러닝Jupyter NotebookMITGitHub

LDS-GNN

lucfra

201스타

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

203스타

Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).

머신러닝Jupyter NotebookBSD-3-ClauseGitHub

im2latex

luopeixiang

206스타

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

210스타

This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

머신러닝PythonApache-2.0GitHub

ElectronBot.DotNet

maker-community

208스타

一个为ElectronBot机器人和瀚文键盘(HelloWorldKeyboard)开发的上位机软件(包含机器人USB操作SDK和瀚文键盘HID操作SDK),采用Windows App SDK框架编写界面。 A host computer software developed for ElectronBot robots (including robot USB operation SDK), using the Windows App SDK framework to write UI.

202스타

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).