compares different pretrained object classification with per-layer and per-channel quantization using pytorch
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Jun 12, 2020 - Python
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model-optimization
Here are 73 public repositories matching this topic...
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
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
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
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
This is an End to End project and Api deployment for Spain electricity shortfall prediction
deployment modeling exploratory-data-analysis feature-engineering data-cleaning conclusion reccomendations model-optimization
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May 31, 2022 - 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
People Counter App at the Edge
python ai computer-vision edge-computing people-detection iot-edge intel-iot edge-ai intel-openvino model-optimization
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Aug 28, 2022 - Python
pruning audio-classification model-compression neural-network-compression sparsification model-optimization neural-network-pruning
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Sep 14, 2022 - 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
A comparative analysis of Fast Wavelet Transform (FWT) compression versus traditional compression methods on network performance, focusing on throughput and latency. This project aims to explore the effectiveness of FWT in modern digital communication environments.
python machine-learning compression research deep-learning neural-networks wavelet-transform model-optimization fast-wavelet-transform
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Apr 30, 2024 - Python
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
time-series convolutional-neural-networks biosignals efficient-inference edge-ai shift-invariant model-optimization online-inference embedded-ml streaming-inference
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Aug 6, 2024 - Python
Llama3.1-8B usage for extraction of symptoms in Danish and English clinical text data and Masking words prediction.
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Aug 29, 2024 - Python
Implementação do algoritmo de retropropagação para treinamento de redes neurais. Este projeto aborda a otimização de modelos de aprendizado profundo para melhorar a precisão das previsões.
python open-source machine-learning deep-learning machine-learning-algorithms python3 artificial-intelligence neural-networks deep-learning-algorithms data-analysis backpropagation-learning-algorithm backpropagation backpropagation-algorithm backpropagation-neural-network model-optimization
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Sep 30, 2024 - Python
PyTorch implementation of normalization-free LLMs investigating entropic behavior to find desirable activation functions
pythia leaky-relu relu privacy-preserving-machine-learning pytorch-implementation gelu gpt-2 model-optimization transformers-models normalization-free-training llm-inference llm-evaluation llm-architecture private-inference entropy-collapse attention-we
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Nov 2, 2024 - Python
This project focuses on real-time object detection and tracking using the Faster R-CNN model, emphasizing accuracy over speed. It utilizes the COCO 2017 dataset for training, which contains diverse and complex images. The Faster R-CNN model is integrated with FiftyOne for visualizing predictions and ground truth annotations. A custom CentroidTracke
python machine-learning object-detection object-tracking r-cnn data-science-projects pytorch-implementation model-optimization coco-2017-dataset dataset-handling
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Nov 27, 2024 - Python
The objective of this project is the development and evaluation of recommendation algorithms based on the MovieLens dataset, one of the benchmark datasets for research into recommendation systems. User ratings, tags, and movie metadata are used in the dataset, allowing for simple and advanced recommendation techniques
python ai artificial-intelligence feature-extraction pattern-recognition recommender-system feature-engineering neuralnetworks deeplearning-ai machinelearning-python machinelearningalgorithms model-optimization
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Mar 30, 2025 - 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
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
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