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機械学習 · GitHub

モデルの学習・評価・推論に使うフレームワークを探し、注目度を比較できます。

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StarryDivineSky

wuwenjie1992

952スター

精选了10K+项目,包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉、前后端开发等内容。Selected more than 10k+ projects, including machine learning, deep learning, NLP, GNN, recommendation system, biomedicine, machine vision, etc. Let more excellent projects be discovered by people. Continue to update! Welcome to star!

LBIF

wuwu-new

30スター
LBIF preview

局部监督驱动的有界增量融合人脸伪造检测(LBIF)

SOLO

WXinlong

1,756スター
SOLO preview

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

  • Totally box-free: SOLO is totally box-free thus not being restricted by (anchor) box locations and scales, and naturally benefits from the inherent advantages of FCNs.
  • Direct instance segmentation: Our method takes an image as input, directly outputs instance masks and corresponding class probabilities, in a fully convolutional, box-free and grouping-free paradigm.
1,607スター
sphereface preview

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

機械学習Jupyter NotebookMITGitHub
1,142スター
auto-deep-researcher-24x7 preview

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

機械学習PythonApache-2.0GitHub

CHINESE-OCR

xiaofengShi

2,959スター
CHINESE-OCR preview

End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).

SLICES

xiaohang007

145スター
SLICES preview

SLICES: An Invertible, Invariant, and String-based Crystal Representation [2023, Nature Communications] MatterGPT, SLICES-PLUS

機械学習PythonLGPL-2.1GitHub

mace

XiaoMi

5,056スター

MACEは、モバイルのヘテロジニアスコンピューティングプラットフォーム向けに最適化されたディープラーニング推論フレームワークです。

機械学習C++Apache-2.0GitHub

Xsdsh-purge

xiaoshe1337-star

164スター
Xsdsh-purge preview

沿用了此项目:https://github.com/YuJunZhiXue/dsh-purge 专注于deepseek harness破甲|逆向|渗透| 适配最新版deepseek harness :deepseek v4.1 flash 最新版 更新q群562341656

機械学習JavaScriptMITGitHub
1,009スター
Efficient-Segmentation-Networks preview

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)