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ultralytics_yolocopy "ultralytics_yolo: ^0.1.43" to clipboard
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66
likes
150
points
1.43k
downloads
Flutter plugin for Ultralytics YOLO computer vision models.#computer-vision#object-detection#yolo#machine-learning#flutter-plugin

v 0.1.43 (8 hours ago)verified publisherultralytics.comAGPL-3.0

flutter_pose_detectioncopy "flutter_pose_detection: ^0.4.1" to clipboard
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recently created package Added 7 days ago
0
likes
160
points
291
downloads
Hardware-accelerated pose detection using MediaPipe PoseLandmarker with GPU/NPU acceleration. Detects 33 body landmarks.#pose-detection#ml#machine-learning#computer-vision#npu

v 0.4.1 (4 days ago)MIT

jinja_minimalcopy "jinja_minimal: ^1.0.0" to clipboard
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0
likes
140
points
350
downloads
A minimalistic pure Dart implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.#jinja#template#machine-learning

v 1.0.0 (2 months ago)verified publishernathankolbas.comMIT

ai_edge_sdkcopy "ai_edge_sdk: ^1.0.0" to clipboard
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0
likes
140
points
26
downloads
Flutter plugin for Google's AI Edge SDK, enabling on-device generative AI with Gemini Nano on Android devices.#artificial-intelligence#machine-learning#gemini#on-device-ai#text-generation

v 1.0.0 (5 months ago)verified publisheramorelli.techMIT

SDKFlutter
PlatformAndroid

ml_scalercopy "ml_scaler: ^0.1.0" to clipboard
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0
likes
150
points
0
downloads
A Dart package for scaling and normalizing numerical features using common techniques like Min-Max and Standard Scaler.#machine-learning#feature-scaling#data-preprocessing#dart-ml

v 0.1.0 (5 months ago)MIT

ml_feature_encodercopy "ml_feature_encoder: ^0.1.0" to clipboard
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0
likes
150
points
0
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A Dart package for encoding categorical variables using Label Encoding and One-Hot Encoding techniques. Ideal for machine learning preprocessing.#machine-learning#feature-engineering#encoding#data-preprocessing#dart-ml

v 0.1.0 (5 months ago)MIT

ml_metricscopy "ml_metrics: ^0.1.0" to clipboard
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0
likes
140
points
0
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A lightweight and easy-to-use Dart library for evaluating machine learning models. Includes accuracy, precision, recall, F1 score, and confusion matrix for binary classification. #machine-learning#metrics#evaluation#classification#dart

v 0.1.0 (5 months ago)MIT

ml_logistic_regressioncopy "ml_logistic_regression: ^0.0.1" to clipboard
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0
likes
130
points
0
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A lightweight, stable and trainable Logistic Regression package in pure Dart. Supports sigmoid prediction, L2 regularization, and classification thresholds. #dart#machine-learning#logistic-regression#ai#classification

v 0.0.1 (6 months ago)MIT

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