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Title: GitHub - KeyForce/AI_Platform: Django Bootstrap SQLite · GitHub

Open Graph Title: GitHub - KeyForce/AI_Platform: Django Bootstrap SQLite

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Description: Django Bootstrap SQLite . Contribute to KeyForce/AI_Platform development by creating an account on GitHub.

Open Graph Description: Django Bootstrap SQLite . Contribute to KeyForce/AI_Platform development by creating an account on GitHub.

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Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FKeyForce%2FAI_Platform
GitHub CopilotWrite better code with AI	https://github.com/features/copilot
GitHub Copilot appDirect agents from issue to merge	https://github.com/features/ai/github-app
MCP RegistryNewIntegrate external tools	https://github.com/mcp
ActionsAutomate any workflow	https://github.com/features/actions
CodespacesInstant dev environments	https://github.com/features/codespaces
IssuesPlan and track work	https://github.com/features/issues
Code ReviewManage code changes	https://github.com/features/code-review
Code QualityEnforce quality at merge	https://github.com/features/code-quality
GitHub Advanced SecurityFind and fix vulnerabilities	https://github.com/security/advanced-security
Code securitySecure your code as you build	https://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they start	https://github.com/security/advanced-security/secret-protection
Why GitHub	https://github.com/why-github
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Blog	https://github.blog
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AI	https://github.com/resources/articles?topic=ai
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	https://github.com/KeyForce/AI_Platform#参考
Weights & Biases – Developer tools for ML	https://www.wandb.com/
Microsoft/PAI: Resource scheduling and cluster management for AI	https://github.com/Microsoft/pai
Microsoft/NNI: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.	https://github.com/microsoft/nni
Angel-ML: A Flexible and Powerful Parameter Server for large-scale machine learning	https://github.com/Angel-ML/angel
Determined: Deep Learning Training Platform	https://github.com/determined-ai/determined
BentoML: Model Serving Made Easy	https://github.com/bentoml/BentoML
COCO Annotator	https://github.com/jsbroks/coco-annotator
Label Studio	https://github.com/heartexlabs/label-studio
Computer Vision Annotation Tool (CVAT)	https://github.com/opencv/cvat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling	https://github.com/walzimmer/3d-bat
Talos	https://github.com/autonomio/talos
Hpman	https://github.com/megvii-research/hpman
Optuna: A hyperparameter optimization framework	https://github.com/optuna/optuna
Hyperboard: A web-based dashboard for Deep Learning	https://github.com/WarBean/hyperboard
PrefectHQ/Prefect: The easiest way to automate your data	https://github.com/PrefectHQ/prefect
Sacred: Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.	https://github.com/IDSIA/sacred
RunX	https://github.com/NVIDIA/runx
Feast: Feature Store for Machine Learning	https://github.com/feast-dev/feast
Model analysis tools for TensorFlow 模型分析工具	https://github.com/tensorflow/model-analysis
Horovod	https://github.com/horovod/horovod
BytePS: A high performance and generic framework for distributed DNN training	https://github.com/bytedance/byteps
一键转换 Caffe, ONNX, TensorFlow 到 NCNN, MNN, Tengine：基于WebAssembly	https://convertmodel.com/
bootstrap	https://github.com/topics/bootstrap
machine-learning	https://github.com/topics/machine-learning
django	https://github.com/topics/django
computer-vision	https://github.com/topics/computer-vision
deep-learning	https://github.com/topics/deep-learning
pytorch	https://github.com/topics/pytorch
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Please reload this page	https://github.com/KeyForce/AI_Platform
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Python 72.5%	https://github.com/KeyForce/AI_Platform/search?l=python
HTML 27.5%	https://github.com/KeyForce/AI_Platform/search?l=html
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Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
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Docs	https://docs.github.com/
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