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Maschinelles Lernen · GitHub

Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.

Nützliche GitHub-Projekte

4,740 Projekte

tubular

azukds

109Sterne

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

Maschinelles LernenPythonBSD-3-ClauseGitHub

executorch-rs

barakugav

63Sterne

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.

see

Bartzi

577Sterne

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

no-shortcuts

BlueRingsLabs

175Sterne
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.

Swarm

christopherkarani

588Sterne

Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime

  • Conversation and memory - Preserve multi-turn state with Conversation; choose conversation, sliding-window, vector, summary, or hybrid memory. Sessions snapshot to portable JSON or FileSession files.
  • Resilience - Retry with backoff and Retry-After, circuit breakers, rate limits, FailoverProvider chains, and tool-loop detection.

d2l-vi

d2l-ai

666Sterne

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.

Baobab

deep-learning-indaba

61Sterne
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

AnomaVision

DeepKnowledge1

39Sterne
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.

Maschinelles LernenJupyter NotebookMITGitHub

deeplay

DeepTrackAI

28Sterne

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

Maschinelles LernenJupyter NotebookMITGitHub

fhiry

dermatologist

51Sterne

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
Maschinelles LernenJupyter NotebookMITGitHub

Future-Roop

DJHanceNL

124Sterne

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

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

AAAI-2024-Papers

DmitryRyumin

589Sterne
AAAI-2024-Papers preview

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!