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Projects in Awesome Lists tagged with model-optimization

A curated list of projects in awesome lists tagged with model-optimization .

https://github.com/sayakpaul/adventures-in-tensorflow-lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model

Last synced: 20 Sep 2025

https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model

Last synced: 09 Jul 2025

https://github.com/sayakpaul/knowledge-distillation-in-keras

Demonstrates knowledge distillation for image-based models in Keras.

computer-vision keras knowledge-distillation model-optimization tensorflow

Last synced: 11 Jul 2025

https://github.com/sayakpaul/e2e-object-detection-in-tflite

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

computer-vision model-optimization object-detection tensorflow2 tflite tfod-api tinyml

Last synced: 16 Jul 2025

https://github.com/lusinlu/gradient-variance-loss

Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"

deep-learning loss loss-functions machine-learning model-optimization super-resolution training upscaling

Last synced: 20 Jun 2025

https://github.com/sayamalt/bank-customer-segmentation

Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.

agglomerative-clustering clustering data-visualization dbscan-clustering exploratory-data-analysis feature-engineering kmeans-clustering model-optimization spectral-clustering unsupervised-machine-learning

Last synced: 15 Aug 2025

https://github.com/maliknaik16/machine-learning

ML journey to explore concepts and framework through code and math. It serves as a personal log of my learning experiences, revisiting foundational topics, and delving into new areas within the field.

autograd classification convolutional-neural-networks datasets distillation machine-learning matplotlib model model-optimization neural-network normalization numpy pandas python pytorch quantization regresssion tensors torchvision transformers

Last synced: 15 May 2025

https://github.com/stifler7/medmnist-edgeai

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.

aiforgood deep-learning edge-ai knowledge-distillation medmnist model-optimization open-source-research scalable-ai strategic-ai

Last synced: 30 Oct 2025

https://github.com/tphakala/birdnet-onnx-converter

Convert and optimize BirdNET models for ONNX Runtime inference on GPUs, CPUs, and embedded devices

ai artificial-intelligence bioacustics bird-identification birdnet birdnet-go machine-learning model-optimization onnx raspberry-pi

Last synced: 28 Feb 2026

https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning

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.

cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn

Last synced: 05 Feb 2026

https://github.com/shikha-code36/early-exit-cnn

A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.

cifar-10 cifar10 cifar10-classification cnn cnn-pytorch deep-learning dqn early-exit efficient-ai image-classification model-optimization pytorch pytorch-cnn reinforcement-learning

Last synced: 25 Nov 2025

https://github.com/bjornmelin/deep-learning-evolution

🧠 Deep-Learning Evolution: Unified collection of TensorFlow & PyTorch projects, featuring custom CUDA kernels, distributed training, memory‑efficient methods, and production‑ready pipelines. Showcases advanced GPU optimizations, from foundational models to cutting‑edge architectures. 🚀

ai-research cuda data-science deep-learning distributed-training gan gpu-acceleration machine-learning model-optimization neural-networks python pytorch tensorflow training-pipeline transformers

Last synced: 30 Mar 2025

https://github.com/lefteris-souflas/propensity-to-lapse-model-building-exercise

Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.

cluster-analysis data-driven-decisions data-preprocessing data-splitting decision-tree feature-engineering gradient-boosting logistic-regression model-interpretation model-optimization model-selection-and-evaluation neural-network random-forest sas-visual-analytics support-vector-machine

Last synced: 06 Mar 2026

https://github.com/chanmeng666/mnist-handwritten-digit-recognition-project

【Sprinkle some star dust on this repo! ⭐️ It's good karma!】A comprehensive implementation and analysis of handwritten digit recognition using multiple neural network architectures on the MNIST dataset. Features basic MLP, optimized feature-selected model, and deep CNN approaches with detailed performance comparisons and visualizations.

cnn computer-vision data-analysis data-visualization deep-learning feature-analysis handwritten-digit-recognition keras machine-learning mlp mnist model-optimization neural-networks python scikit-learn tensorflow

Last synced: 30 Dec 2025

https://github.com/ksm26/quantization-fundamentals-with-hugging-face

Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.

compression downcasting generative-ai hugging-face linear-quantization model-compression model-deployment model-optimization optimize quantization quantization-fundamentals quanto-library transformers-library

Last synced: 28 Mar 2025

https://github.com/kronbii/thermal-super-resolution

State-of-the-art thermal super-resolution system (IMDN) with RGB→thermal adaptation, custom multi-component loss, 29.6 dB PSNR, 0.713 SSIM, 250+ FPS, production-ready PyTorch + CUDA implementation.

computer-vision cuda deep-learning image-enhancement imdn model-optimization production-machine-learning pytorch real-time real-time-processing research super-resolution thermal-imaging

Last synced: 02 Oct 2025

https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-

🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.

api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow

Last synced: 14 Oct 2025

https://github.com/qiyaozheng/pima-diabetes-prediction

Prediction of diabetes using a Keras-based neural network trained on the PIMA Indians Diabetes dataset. This project includes data preprocessing, model optimization with early stopping, and adaptive learning rate techniques to achieve robust classification performance.

deep-learning keras machine-learning model-optimization neural-networks

Last synced: 14 Mar 2025

https://github.com/sayamalt/customer-churn-prediction

Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.

classification data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation model-optimization model-training supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/bjornmelin/edge-ai-engineering

📱 Optimized ML for edge devices. Showcasing efficient model deployment, GPU-CPU memory transfer optimization, and real-world edge AI applications. 🤖

cuda edge-computing embedded-systems gpu-optimization iot mobile-ml model-optimization python tflite

Last synced: 28 Mar 2025