model-optimization

There are 1 repository under model-optimization topic.

HanXinzi-AI / awesome-computer-vision-resources
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
autonomous-driving autonomous-vehicles computer-vision face-detection face-recognition gan image-captioning image-classification image-segmentation medical-imaging model-compression model-optimization ocr paddlepaddle pedestrian-detection pytorch semantic-segmentation super-resolution tensorflow visual-question-answering
324
sayakpaul / Adventures-in-TensorFlow-Lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
tensorflow-2 tensorflow-lite on-device-ml model-quantization post-training-quantization quantization-aware-training pruning model-optimization tf-lite-model inference tf-hub
Language:Jupyter Notebook 173
MelihGulum / Comprehensive-Data-Science-AI-Project-Portfolio
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
ai-project cloud-computing data-engineering data-science deep-learning devops etl exploratory-data-analysis-eda machine-learning model-optimization neural-network time-series tutorial comprehensive kubernetes
Language:Jupyter Notebook 60
sayakpaul / Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
computer-vision keras knowledge-distillation model-optimization tensorflow
Language:Jupyter Notebook 54
lusinlu / gradient-variance-loss
Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
machine-learning loss-functions loss super-resolution upscaling deep-learning training model-optimization
Language:Python 32
onnx / ir-py
Efficient in-memory representation for ONNX, in Python
intermediate-representation onnx computation-graph large-language-models machine-learning compilation graph-transformation model-optimization
Language:Python 32
E2E-Object-Detection-in-TFLite
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.
object-detection tfod-api tflite computer-vision model-optimization tinyml tensorflow2
Language:Jupyter Notebook 32
AliAmini93 / Telecom-Churn-Analysis
Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.
business-intelligence churn-prediction datascience feature-engineering feature-importance machine-learning model-optimization shap xgboost
Language:Jupyter Notebook 22
MaitreChen / openvino-lenet-sample
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 model-optimization openvino lenet mnist-handwriting-recognition onnxruntime pytorch
Language:Python 17
Western-OC2-Lab / Cross-Layer-Autonomous-Cybersecurity-Framework
This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" published in IEEE TCOM, focusing on autonomous cybersecurity (physical-layer authentication and cross-layer intrusion detection) using AutoML techniques.
6g adaptive-learning automl cicids2017 concept-drift cybersecurity data-balancing data-stream drift drift-detection feature-selection hyperparameter-optimization intrusion-detection intrusion-detection-system machine-learning model-optimization online-learning physical-layer-authentication physical-layer-security streaming-data
Language:Jupyter Notebook 13
heixiaopengyou / TINY-ML-for-FOC-of-PMSM-20092024
Enhanced BR2804-1700KV Motor Field Oriented Control with a Tiny Neural Network
bayesian-optimization field-oriented-control matlab microcontrollers model-optimization motor-control permanent-magnet-synchronous simulink st-edge tinyml 8-bit-quantization pca-pruning st-edge-ai
Language:MATLAB 12
sub1120 / PSR-KD
Automated Shorthand Recognition using Optimized DNNs
classification deepl-learning model-optimization model-visualization shorthand-notation knowledge-distillation
Language:Jupyter Notebook 11
bnabis93 / vision-language-examples
Vision-lanugage model example code.
embedding-models example pytorch transformer tutorial vision-language vision-language-model model-acceleration model-optimization
Language:Python 10
DA2Lite
da2so / DA2Lite
DA2Lite is an automated model compression toolkit for PyTorch.
pruning filter-decomposition python on-device pytorch model-compression deep-learning knowledge-distillation quantization model-optimization image-classification
Language:Python 9
Compressed-DNNs-Forget
lattice-ai / Compressed-DNNs-Forget
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
deep-neural-networks deep-learning neural-network pruning neural-network-pruning model-optimization sparsity sparsity-optimization tensorflow deeplearning celeba celeba-dataset tensorflow-lite tflite tracker-misc
Language:Python 9
MrinmoiHossain / Udacity-Intel-Edge-AI-for-IoT-Developers-Nanodegree
Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise.
intel openvino edge-ai inference-engine optimization intel-devcloud face-detection model-optimization
Language:Jupyter Notebook 9
TCLResearchEurope / ptdeco
ptdeco is a library for model optimization by matrix decomposition built on top of PyTorch
deep-learning model-compression model-optimisation model-optimization pytorch
Language:Python 9
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
Language:Jupyter Notebook 7
yester31 / Quantization_EX
quantization example for pqt & qat
qat quantization-aware-training quantization tensorrt post-training-quantization ptq int8 model-optimization pytorch-quantization
Language:Python 7
awesome-mlops / awesome-hyperparameter-optimization
A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning 🚀
automl data-science datascience feature-engineering feature-extraction feature-selection hyperparameter-optimization hyperparameter-tuning kubernetes machine-learning machine-learning-platform machine-learning-training mlops model-management model-optimization model-training orchestration pipelines
5
K0mp0t / DNN_Model_optimization
Some DNN model optimization experiments and notebooks
convolutional-neural-networks deep-neural-networks model-optimization onnxruntime pruning-optimization recurrent-neural-networks
Language:Jupyter Notebook 5
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 generative-ai hugging-face linear-quantization model-compression optimize quantization transformers-library downcasting quanto-library model-deployment model-optimization quantization-fundamentals
Language:Jupyter Notebook 5
Midhilesh29 / PostTrainingQuantization
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
model-optimization pytorch-quantize quantization quantization-algorithms
Language:Python 5
Loan-Classification-Prediction-Competition-Case
AntonioLunardi / Loan-Classification-Prediction-Competition-Case
Determing the eligibility for granting home loan. ML classification models are used, in order to predict if loans are apporoved or not, based on customers's data.
bank bank-loans banking banking-system binary-classification classification cross-validation data-science feature-engineering kaggle loans machine-learning model-optimization model-selection pandas prediction scikit-learn statistics vitrinedev
Language:Jupyter Notebook 4
cuongvng / Optimizing-Convolution-with-NEON-Intrinsics
Optimizing convolution function using ARM's NEON Intrinsics
model-optimization neon-intrinsics convolution arm simd-parallelism cpp17
Language:C++ 4
Nizarassad / Guns-Knifes-detection
This project uses YOLOv5 architecture for creating guns and knifes real time detection
artificial-intelligence data-processing data-science deep-learning model-optimization object-detection python real-time-object-detection roboflow yolo yolov5
Language:Jupyter Notebook 4
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
Language:Jupyter Notebook 4
yihong1120 / Vitis-AI-YOLOv3-TF2-Quantization-Evaluation
"Vitis-AI-YOLOv3-TF2-Quantization-Evaluation" Repo for quantization of YOLOv3 on Vitis-AI using TF2, aimed to deploy model on edge devices with limited resources. Includes training & quantization scripts and evaluation metrics. Experiment with different configurations.
computer-vision docker python quantization tensorflow vitis-ai yolov3 deep-learning edge-computing machine-learning model-optimization object-detection tensorflow2
Language:Shell 4
4GeeksAcademy / gperdrizet-decision-trees
4Geeks Academy data science boot camp tree based methods assignment
classification data-science decision-trees feature-engineering machine-learning model-optimization python scikit-learn supervised-learning gradient-boosting-decision-trees random-forest
Language:Jupyter Notebook 3
basiralab / CQSIGN
Affordable GNN using Topological Contraction
gnn graph-data model-compression model-optimization supervised-learning topology-optimization affordable-ai gnn-optimization
Language:C 3
fabprezja / Deep-Learning-TPBook-Points
Some Key Points from the Deep Learning Tuning Playbook
deeo-learning hyperparameter-tuning machine-learning optimization deep-learning-tuning-playbook bayesian-optimization exploration-exploitation model-optimization optimizer-selection
3
iresil / NeuralNet
A basic neural network built from scratch using C++
cplusplus digit-recognition digit-recognition-mnist image-recognition mnist-classification model-optimization model-training neural-network fashion-mnist-classification image-recognition-fashion-mnist
Language:C++ 3
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
Language:Jupyter Notebook 3
ramesh-dev-code / openvino-projects
This repository is a collection of Python scripts and Jupyter notebooks for understanding the performance improvement in image classification, object detection and instance segmentation with OpenVINO. It also contains reference implementations of dwell time analytics, ALPR and polyp detection.
computer-vision dlstreamer dwell-time-algorithm edge-ai edge-computing image-classification model-deployment model-optimization munkres-algorithm object-detection object-tracking openvino-toolkit person-reidentification polyp-detection reference-implementation vehicle-license-plate-recognition video-analytics yolov11 yolov8-detection yolov8-segmentation
Language:Jupyter Notebook 3
arbitrary-number / arbitrary-number
Arbitrary Numbers
ai-inference ai-performance consumer-gpu cuda deep-learning edge-inference gpu machine-learning model-optimization model-serving numerical-computing nvidia python pytorch tensorflow
Language:Python 2
chatterjee007-dev / Machine_Learning
Showcasing impactful machine learning projects tackling real-world issues with Decision Trees, SVM, Time Series, Random Forest, Logistic Regression, and Gradient Boosting. Demonstrates advanced preprocessing, feature engineering, and optimization techniques.
clustering data-preprocessing decision-tree ensemble-models feature-engineering gradient-boosting imbalanced-data-handling k-means-clustering linear-regression logistic-regression matplotlib model-optimization pandas pca predictive-modeling random-forest real-world-problem-solving scikit-learn seaborn svm
Language:Jupyter Notebook 2

model-optimization

HanXinzi-AI / awesome-computer-vision-resources

sayakpaul / Adventures-in-TensorFlow-Lite

MelihGulum / Comprehensive-Data-Science-AI-Project-Portfolio

sayakpaul / Knowledge-Distillation-in-Keras

lusinlu / gradient-variance-loss

onnx / ir-py

sayakpaul / E2E-Object-Detection-in-TFLite

AliAmini93 / Telecom-Churn-Analysis

MaitreChen / openvino-lenet-sample

Western-OC2-Lab / Cross-Layer-Autonomous-Cybersecurity-Framework

heixiaopengyou / TINY-ML-for-FOC-of-PMSM-20092024

sub1120 / PSR-KD

bnabis93 / vision-language-examples

da2so / DA2Lite

lattice-ai / Compressed-DNNs-Forget

MrinmoiHossain / Udacity-Intel-Edge-AI-for-IoT-Developers-Nanodegree

TCLResearchEurope / ptdeco

Shikha-code36 / early-exit-cnn

yester31 / Quantization_EX

awesome-mlops / awesome-hyperparameter-optimization

K0mp0t / DNN_Model_optimization

ksm26 / Quantization-Fundamentals-with-Hugging-Face

Midhilesh29 / PostTrainingQuantization

AntonioLunardi / Loan-Classification-Prediction-Competition-Case

cuongvng / Optimizing-Convolution-with-NEON-Intrinsics

Nizarassad / Guns-Knifes-detection

SayamAlt / Bank-Customer-Segmentation

yihong1120 / Vitis-AI-YOLOv3-TF2-Quantization-Evaluation

4GeeksAcademy / gperdrizet-decision-trees

basiralab / CQSIGN

fabprezja / Deep-Learning-TPBook-Points

iresil / NeuralNet

maliknaik16 / machine-learning

ramesh-dev-code / openvino-projects

arbitrary-number / arbitrary-number

chatterjee007-dev / Machine_Learning