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머신러닝 · GitHub

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

유용한 GitHub 프로젝트

7,486 프로젝트

SmolML

rodmarkun

506스타

A fully functional and simple Machine Learning library made entirely from scratch with Python.

Vectra-Core

ronitgupta138

65스타

⚡ In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.

EasyBert

rsanshierli

815스타

基于Pytorch的Bert应用,包括命名实体识别、情感分析、文本分类以及文本相似度等

R-sharp

rsharp-lang

36스타
R-sharp preview

R# language is a kind of CRAN GNU R liked vectorized language implements on .NET environment for the bioinformatics data analysis

머신러닝Visual Basic .NETGPL-3.0GitHub

segmenter

rstrudel

906스타

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

CRSLab

RUCAIBox

555스타

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

rumble

RumbleDB

251스타

Quick start: pip install jsoniq ⛈️ RumbleDB 3.1.0 "Pistachio Tree" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more

DeepCAD

rundiwu

843스타
DeepCAD preview

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

322스타
BOT-MMORPG-AI preview

BOT-MMORPG-AI is your personal gaming assistant that uses artificial intelligence to play your favorite MMORPG and RPG games automatically. It watches how YOU play, learns from your gameplay, and then takes over the boring, repetitive tasks while you relax, work, or sleep.

  • ✅ Auto-Farming: Collect resources automatically while you're away
  • ✅ Smart Navigation: Travel from point A to point B without getting stuck
머신러닝Jupyter NotebookApache-2.0GitHub

ruv-FANN

ruvnet

393스타
ruv-FANN preview

A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

  • Default features - Enable model I/O, serialization, compression, logging, and parallel-related utilities. CPU inference does not require a GPU.
  • io - Enables file formats and training-data I/O. Keep bounds on bytes, decompressed data, and declared model dimensions when loading external data.

returnn

rwth-i6

377스타

The RWTH extensible training framework for universal recurrent neural networks