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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。

便利なGitHubプロジェクト

4,743 プロジェクト

sdnext

vladmandic

7,378スター+224時間
sdnext preview

SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing

  • Generate and edit: Create images or videos from text or images; edit, inpaint, outpaint, refine, detail
  • Guide generation: Use LoRA, ControlNet, IP-Adapters, and Prompt enhancement
機械学習PythonApache-2.0GitHub
286スター+224時間
modern-llm-notebook preview

A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.

機械学習Jupyter NotebookGitHub

webdataset

webdataset

3,219スター+224時間
webdataset preview

大規模(および小規模)の深層学習用途に対応する、高性能な Python ベースの I/O システム。PyTorch を強力にサポートします。

機械学習PythonBSD-3-ClauseGitHub

Xsdsh-purge

xiaoshe1337-star

166スター+224時間
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

DIS

xuebinqin

2,591スター+224時間
DIS preview

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

機械学習Jupyter NotebookApache-2.0GitHub

ml-road

yanshengjia

4,982スター+224時間

機械学習とエージェント型AIのリソース、実践、研究

9,724スター+224時間
video-subtitle-extractor preview

動画に埋め込まれた字幕を抽出して SRT ファイルを生成する、GUI ツール兼深層学習フレームワークです。サードパーティの API は不要で、テキスト認識をローカルで実行します。字幕領域の検出と字幕内容の抽出に対応しています。

機械学習PythonApache-2.0GitHub

QuantMuse

0xemmkty

2,988スター+124時間

A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management

  • 🔬 Advanced Factor Analysis: Multi-factor models with momentum, value, quality, and volatility factors
  • 🤖 AI/LLM Integration: OpenAI GPT integration for market analysis and strategy recommendations

OpenMLDB

4paradigm

1,718スター+124時間
OpenMLDB preview

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

機械学習C++Apache-2.0GitHub

mace

ACEsuit

1,412スター+124時間

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

adapters

adapter-hub

2,833スター+124時間
adapters preview

A Unified Library for Parameter-Efficient and Modular Transfer Learning

機械学習PythonApache-2.0GitHub
1,007スター+124時間

List of all the lessons learned, best practices, and links from my time studying machine learning

  • It's also model dependent. Normalization will likely help for linear models like linear/logistic reg, but won't be as helpful for deep learning models and neural networks.
  • In order to determine whether it will help or not, visualize your data to see what type of features you're dealing with. Do you have some features that have values around 1000 or 2000? Do you have some that are only 0.1 or 0.2? If so, normalizing those inputs is likely a good idea.

underPINN

Aeroscience-Computations-Analysis-Lab

39スター+124時間

A modular, JAX-based framework for Physics-Informed Neural Networks, designed for scalable PDE-constrained learning with support for domain decomposition, attention mechanisms, and performance-oriented training.

機械学習PythonGPL-3.0GitHub
56,893スター+124時間
face_recognition preview

世界で最もシンプルな Python およびコマンドライン向け顔認識 API

  • Identify specific facial features in a photograph
  • Apply (horribly ugly) digital make-up
49スター+124時間
Plant-Disease-Classification preview

A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.

  • ResNet50 backbone with pretrained ImageNet weights
  • Channel attention