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머신러닝 · GitHub

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

유용한 GitHub 프로젝트

4,743 프로젝트

tubular

azukds

109스타

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

머신러닝PythonBSD-3-ClauseGitHub

executorch-rs

barakugav

63스타

Rust bindings for ExecuTorch - On-device AI across mobile, embedded and edge for PyTorch

  • data-loader: Includes additional structs in the data_loader module for loading data. Without this feature the only available data loader is BufferDataLoader. The libextension_data_loader.a static library is required, compile C++ executorch with EXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON.
  • tensor-ptr: Includes the tensor::TensorPtr struct, a smart pointer for tensors that manage the lifetime of the tensor object alongside the lifetimes of the data buffer and additional metadata. The extension_tensor.a static library is required, compile C++ executorch with EXECUTORCH_BUILD_EXTENSION_TENSOR=ON. Also includes the std feature.
머신러닝RustGitHub

no-shortcuts

BlueRingsLabs

175스타
no-shortcuts preview

Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.

머신러닝PythonGitHub

d2l-vi

d2l-ai

666스타

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

머신러닝PythonGitHub

Baobab

deep-learning-indaba

61스타
Baobab preview

Baobab is an open source multi-tenant web application designed to facilitate the application and selection process for large scale meetings within the machine learning and artificial intelligence communities globally. Supported by the Deep Learning Indaba

머신러닝PythonApache-2.0GitHub

AnomaVision

DeepKnowledge1

39스타
AnomaVision preview

Production-ready visual anomaly detection from normal images, featuring PaDiM, ultra-light PatchCore, automated edge deployment, and optimized ONNX, OpenVINO, TensorRT INT8, Hailo, and KV260 support.

머신러닝Jupyter NotebookMITGitHub

deeplay

DeepTrackAI

28스타

Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability.

머신러닝Jupyter NotebookMITGitHub

fhiry

dermatologist

51스타

FHIR to pandas dataframe for data analytics, AI and ML!

  • Flatten FHIR Bundles/NDJSON to DataFrames for analytics and ML
  • Import from FHIR Server via FHIR Search API
머신러닝Jupyter NotebookMITGitHub

Future-Roop

DJHanceNL

124스타

continuation of my favorite app - roop-unleashed - By C0untFloyd

  • Platform-independant Browser GUI
  • Selection of multiple input/output faces in one go
머신러닝PythonAGPL-3.0GitHub

ViFastTts

dvchd

59스타
ViFastTts preview

Ứng dụng đọc tiếng Việt cho Windows/macOS/Linux, Web, Android, iOS Simulator và Chrome Extension: tải về chạy ngay, model có sẵn, đọc văn bản dài, xuất WAV. Mã nguồn mở; model nghiên cứu phi thương mại.

머신러닝PythonGitHub

anchor-sub-sync

ellite

27스타
anchor-sub-sync preview

Anchor: A universal, hardware-accelerated CLI tool for subtitle synchronization (Whisper) and context-aware translation (NLLB)

머신러닝PythonAGPL-3.0GitHub

evogp

EMI-Group

292스타
evogp preview

A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.

  • Leverage specialized CUDA kernels to optimize critical TGP operations.
  • Enhance computational efficiency, especially for large populations, enabling faster execution compared to traditional TGP methods.
머신러닝PythonGPL-3.0GitHub

evomo

EMI-Group

257스타

EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)

머신러닝PythonGPL-3.0GitHub

emlearn

emlearn

774스타

Machine Learning inference engine for Microcontrollers and Embedded devices

  • Supports models made with scikit-learn and Keras
  • Supports classification, regression and anomaly/outlier detection
머신러닝PythonMITGitHub