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
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model-optimization
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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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Oct 29, 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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Mar 10, 2024 - 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
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
ptdeco is a library for model optimization by matrix decomposition built on top of PyTorch
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May 7, 2025 - Python
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
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Jun 12, 2020 - 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
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
Compile PyTorch vision models into ultra-fast Rust binaries for edge, server, and browser deployment
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Oct 15, 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
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
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
This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.
python data-science machine-learning scikit-learn cross-validation data-visualization mse regularization ridge-regression polynomial-regression grid-search rmse regression-analysis r2-score model-optimization overfitting-prevention
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Mar 30, 2025 - Python
MedMNIST-EdgeAI -> an end-to-end exploration into model distillation, optimization, and deployment for resource-constrained environments, all centered around the MedMNIST medical imaging dataset.
deep-learning knowledge-distillation edge-ai aiforgood model-optimization medmnist open-source-research scalable-ai strategic-ai
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Oct 18, 2025 - Python
Semantic model router with parallel LLM classification, prompt caching, and vision short-circuiting. Optimizes request routing with sub-100ms overhead for Open WebUI.
caching machine-learning performance ai async-python request-routing model-optimization llm open-webui semantic-routing
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Oct 20, 2025 - Python
A web application built using Streamlit to detect emotions and sentiment from Indonesian text. This project uses Machine Learning models (Naive Bayes, Random Forest, and SVM) trained with TF-IDF vectorization and stored as .pkl files for direct use.
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Oct 4, 2025 - Python
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