model-optimization

There are 1 repository under model-optimization topic.

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
Language:Jupyter Notebook 166
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。
computer-vision image-classification image-segmentation semantic-segmentation medical-imaging ocr visual-question-answering image-captioning super-resolution gan face-detection face-recognition pedestrian-detection autonomous-vehicles autonomous-driving model-compression model-optimization tensorflow pytorch paddlepaddle
89
sayakpaul / Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
keras tensorflow computer-vision knowledge-distillation model-optimization
Language:Jupyter Notebook 48
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 29
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 23
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 15
sub1120 / PSR-KD
Automated Shorthand Recognition using Optimized DNNs
classification deepl-learning model-optimization model-visualization shorthand-notation knowledge-distillation
Language:Jupyter Notebook 10
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
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 8
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 8
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 7
TCLResearchEurope / ptdeco
ptdeco is a library for model optimization by decomposition built on top of PyTorch
deep-learning model-compression model-optimisation model-optimization pytorch
Language:Python 6
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
Midhilesh29 / PostTrainingQuantization
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
pytorch-quantize model-optimization quantization quantization-algorithms
Language:Python 4
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 3
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
3
basiralab / CQSIGN
Affordable GNN using Topological Contraction
affordable-ai gnn gnn-optimization graph-data model-compression model-optimization supervised-learning topology-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
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 3
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 3
caailab / backtracking
Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction
intelligent-transportation-systems time-series-analysis traffic-speed-forecasting model-optimization long-short-term-memory
2
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++ 2
emreyesilyurt / model-optimization-kFold-and-grid-search
Model optimization with grid search and k-fold
machine-learning model-optimization
Language:Jupyter Notebook 2
Jayplect / Funding-recommendation-engine
With my knowledge of machine learning and neural networks, I utilized the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
deep-neural-networks hyperparameter-optimization machine-learning model-optimization preprocessing
Language:Jupyter Notebook 2
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 2
A82516 / AEC
Aprendizagem e Extração de Conhecimento
data-analysis data-science model-optimization model-validation predictive-modeling
1
amascasadesus / ML-for-Paediatric-Covid-Diagnosis
A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.
machine-learning pipelines data-cleaning missing-data-imputation smote oversampling random-forest decision-tree global-surrogate-method model-interpretability shapely classification-algorithms classification-models data-science data-preprocessing model-optimization hyperparameter-optimization hyperparameter-tuning model-agnostic-explanations python
Language:Jupyter Notebook 1
JLeigh101 / deep-learning-challenge
NU Bootcamp Module 21
activation-functions deep-learning get-dummies hidden-layers keras-tensorflow machine-learning model-optimization model-training-and-evaluation neural-network predictive-modeling python standardscaler dataframe pandas scikit-learn relu-activation sigmoid-activation tanh-activation
Language:Jupyter Notebook 1
mkldhz / Breast-Cancer-Survival-Rate
The aim of the project is to be able to predict whether a breast cancer patient is going to survive the disease or not, as well as predicting the probability of such prediction.
breast-cancer-prediction calibration-curve classification machine-learning medical-application model-optimization support-vector-machines
Language:Jupyter Notebook 1
pgeedh / Hyperparameter-Tuning-with-Keras-Tuner
Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization
baysian-network coursera-machine-learning coursera-project hyperparameter-optimization hyperparameter-tuning jupyter-notebook keras-neural-networks keras-tensorflow machine-learning machine-learning-algorithms mnist-dataset model-optimization model-selection programming python python-3 python3 random-search
Language:Jupyter Notebook 1
SmellyArmure / OC_DS_Project4
Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)
data-science machine-learning python regression-models data-analysis data-visualization model-optimization data-cleaning sklearn sklearn-metrics
Language:Jupyter Notebook 1
SmellyArmure / OC_DS_Project6
Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
image-processing image-segmentation feature-extraction feature-selection transfer-learning natural-language-processing python clustering clustering-metrics universal-sentence-encoder convolutional-neural-networks word-embeddings bag-of-words bag-of-visual-words sift model-optimization topics-modeling data-visualization data-science
Language:Jupyter Notebook 1
TanyaChutani / Quantization_Tensorflow
Quantization for Object Detection in Tensorflow 2.x
quantization quantization-aware-training object-detection tensorflow2 model-optimization post-training-quantization
Language:Python 1
vi2enne / Neural-Network-Pruning
audio-classification model-compression model-optimization neural-network-pruning pruning sparsification neural-network-compression
Language:Python 1
Yoga_Pose-Image-Classification
Purushothaman-natarajan / Yoga_Pose-Image-Classification
This repository offers a robust solution for multilabel image classification. Utilizing advanced neural networks like VGG16, VGG19, ResNet50, InceptionV3, DenseNet121, and MobileNetV2, the project achieves precise classification across 107 diverse categories.
computer-vision convolutional-neural-networks data-science deep-neural-networks hyperparameter-optimization hyperparameter-tuning image-classification image-processing machine-learning model-optimization multilabel-classification python tensorflow transfer-learning
Language:HTML 0
SMRodrigo96 / Data-Science-Project-
Benchmarking bank data to enhance marketing strategies. Models: Decision Tree and Random Forest. Libraries: Pandas, Matplotlib, Seaborn, Scikit-Learn, Numpy. Findings: Customer patterns and seasonal behaviors.
data-preprocessing data-visualizations exploratory-data-analysis feature-engineering machine-learning-algorithms model-evaluation model-interpretation model-optimization predictive-modeling process-automation
Language:Jupyter Notebook

model-optimization

sayakpaul / Adventures-in-TensorFlow-Lite

HanXinzi-AI / awesome-computer-vision-resources

sayakpaul / Knowledge-Distillation-in-Keras

sayakpaul / E2E-Object-Detection-in-TFLite

lusinlu / gradient-variance-loss

MaitreChen / openvino-lenet-sample

sub1120 / PSR-KD

lattice-ai / Compressed-DNNs-Forget

da2so / DA2Lite

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

bnabis93 / vision-language-examples

TCLResearchEurope / ptdeco

K0mp0t / DNN_Model_optimization

Midhilesh29 / PostTrainingQuantization

AntonioLunardi / Loan-Classification-Prediction-Competition-Case

awesome-mlops / awesome-hyperparameter-optimization

basiralab / CQSIGN

fabprezja / Deep-Learning-TPBook-Points

yester31 / Quantization_EX

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

caailab / backtracking

cuongvng / Optimizing-Convolution-with-NEON-Intrinsics

emreyesilyurt / model-optimization-kFold-and-grid-search

Jayplect / Funding-recommendation-engine

SayamAlt / Bank-Customer-Segmentation

A82516 / AEC

amascasadesus / ML-for-Paediatric-Covid-Diagnosis

JLeigh101 / deep-learning-challenge

mkldhz / Breast-Cancer-Survival-Rate

pgeedh / Hyperparameter-Tuning-with-Keras-Tuner

SmellyArmure / OC_DS_Project4

SmellyArmure / OC_DS_Project6

TanyaChutani / Quantization_Tensorflow

vi2enne / Neural-Network-Pruning

Purushothaman-natarajan / Yoga_Pose-Image-Classification

SMRodrigo96 / Data-Science-Project-