Efficient in-memory representation for ONNX, in Python
machine-learning computation-graph intermediate-representation compilation onnx graph-transformation model-optimization large-language-models
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Dec 1, 2025 - Python
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model-optimization
Here are 45 public repositories matching this topic...
Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
training machine-learning deep-learning super-resolution loss-functions upscaling loss model-optimization
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Feb 27, 2022 - Python
TinyML & Edge AI: On-device inference, model quantization, embedded ML, ultra-low-power AI for microcontrollers and IoT devices.
raspberry-pi iot arduino microcontroller cortex-m esp32 embedded-systems pruning quantization knowledge-distillation edge-computing ultra-low-power tensorflow-lite neural-network-compression edge-ai tinyml model-optimization embedded-ml on-device-inference tiny-deep-learning
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Nov 10, 2025 - Python
本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖
deep-learning deployment pytorch lenet mnist-handwriting-recognition openvino onnxruntime model-optimization
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Nov 13, 2025 - Python
Vision-lanugage model example code.
tutorial example pytorch transformer embedding-models model-acceleration vision-language model-optimization vision-language-model
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Sep 6, 2023 - Python
ptdeco is a library for model optimization by matrix decomposition built on top of PyTorch
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May 7, 2025 - Python
DA2Lite is an automated model compression toolkit for PyTorch.
python deep-learning pytorch image-classification pruning quantization knowledge-distillation model-compression on-device model-optimization filter-decomposition
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Mar 15, 2022 - Python
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
deep-neural-networks sparsity deep-learning neural-network tensorflow pruning deeplearning celeba celeba-dataset tensorflow-lite tflite sparsity-optimization model-optimization neural-network-pruning tracker-misc
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Jun 4, 2021 - Python
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
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Jun 12, 2020 - Python
40x faster AI inference: ONNX to TensorRT optimization with FP16/INT8 quantization, multi-GPU support, and deployment
deep-learning cuda gpu-acceleration quantization fp16 tensorrt int8 nvidia-gpu edge-computing model-deployment onnx production-ai mlops onnxruntime inference-acceleration model-optimization pytorch-to-onnx real-time-inference latency-optimization tensorflow-to-onnx
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Nov 14, 2025 - Python
This project is built to detect spam messages using a Long Short-Term Memory (LSTM) model combined with Word2Vec as the word embedding technique. The model has been optimized using Grid Search, achieving a best accuracy of 95.65%.
natural-language-processing deep-learning tensorflow classification spam-detection hyperparameter-tuning streamlit model-optimization
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Nov 25, 2025 - Python
Mobile AI: iOS CoreML, Android TFLite, on-device inference, ONNX, TensorRT, and ML deployment for smartphones.
quantization mlkit tensorrt mnn edge-computing coreml ncnn onnx tensorflow-lite openvino mobile-ai mobile-inference pytorch-mobile model-optimization neural-engine android-ml on-device-inference ios-ml smartphone-ai
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Nov 10, 2025 - Python
pruning audio-classification model-compression neural-network-compression sparsification model-optimization neural-network-pruning
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Sep 14, 2022 - Python
Arbitrary Numbers
python machine-learning deep-learning tensorflow gpu cuda pytorch nvidia model-serving numerical-computing model-optimization edge-inference ai-inference ai-performance consumer-gpu
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Aug 12, 2025 - Python
Computer vision project that classifies 101 food categories with 80.2% accuracy using fine-tuned EfficientNetB2 and PyTorch. Features interactive Gradio UI, optimized inference (~100ms/image), and strategic training on 20% of Food101 dataset for efficient resource utilization.
python machine-learning computer-vision deep-learning pytorch image-recognition food-classification convolutional-neural-networks transfer-learning gradio inference-optimization efficientnet interactive-ui model-optimization deployment-ready
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Aug 6, 2025 - Python
Quantization for Object Detection in Tensorflow 2.x
object-detection quantization tensorflow2 model-optimization quantization-aware-training post-training-quantization
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Jun 8, 2022 - Python
Công cụ giảm kích thước mô hình bằng Quantization, kết hợp AI Agent để tự động chọn mức tối ưu, giúp tăng tốc và tiết kiệm chi phí inference.
machine-learning quantization ai-agents model-compression dvc mlops mlflow model-optimization automated-ai
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Jun 4, 2025 - Python
Heart disease classification using machine learning algorithms with hyperparameter tuning for optimized model performance. Algorithms include XGBoost, Random Forest, Logistic Regression, and moreto find the best model for accurate heart disease prediction.
python machine-learning random-forest svm scikit-learn xgboost logistic-regression decision-tree hyperparameter-tuning gradient-boosting model-optimization heart-disease-classification healthcare-classification
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Apr 10, 2025 - Python
YOLOv3-YOLO12 unified pipeline for edge deployment - Detection, segmentation, pose estimation with PyTorch to ONNX/TFLite/CoreML export
computer-vision object-detection attention-mechanisms real-time-detection openvino pytorch-yolo edge-ai edge-deployment model-optimization ultralytics flash-attention yolov11 yolov12 rf-detr onnx-conversion tflite-deployment coreml-export area-attention r-elan mobile-yolo
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Nov 7, 2025 - Python
ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
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Feb 8, 2021 - Python
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