Facebook AI Performance Evaluation Platform
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Updated
Jan 3, 2019 - Python
Facebook AI Performance Evaluation Platform
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MLModelScope mobile Predictor (mPredictor) for Tensorflow Lite
an emotion detection model for proformence-limited mobile apps.
Undergraduate Thesis/Project on Realtime Potholes Detection
Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
Detect and predicts the emotions of human face using deep learning.
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
Deploy TensorFlow Regression Model in Android — TF Lite
Yamnet model using tflite_model_maker with esc-50 dataset
Conversion of TF-Lite model from ZERO-DCE model
Flutter-based cross-platforms mobile application to streamline Lateral Flow Tests (LFTs) processing and management by forcing as minimum user interaction as possible and utilizing lightweight TFLite model.
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