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。

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vi2enne/Neural-Network-Pruning

Language: Python - Size: 60.5 KB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

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.

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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.

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TCLResearchEurope/ptdeco

ptdeco is a library for model optimization by decomposition built on top of PyTorch

Language: Python - Size: 299 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 7 - Forks: 1

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💖

Language: Python - Size: 58.6 KB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 15 - Forks: 2

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.

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Equinox-M/Traffic_Volume_Prediction_Using_TCN

This repository contains code and resources for a project focused on predicting traffic volume using Temporal Convolutional Networks (TCNs). Leveraging the Metro Interstate Traffic Volume dataset from 2012-2018, the project aims to develop an accurate model for short- to medium-term traffic volume forecasting in Minneapolis-St Paul, MN.

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sayakpaul/Adventures-in-TensorFlow-Lite

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

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sub1120/PSR-KD

Automated Shorthand Recognition using Optimized DNNs

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bnabis93/vision-language-examples

Vision-lanugage model example code.

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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.

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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

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K0mp0t/DNN_Model_optimization

Some DNN model optimization experiments and notebooks

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basiralab/CQSIGN

Affordable GNN using Topological Contraction

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marcpaulo15/titanic_streamlit

TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.

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A82516/AEC

Aprendizagem e Extração de Conhecimento

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lusinlu/gradient-variance-loss

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

Language: Python - Size: 204 KB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 17 - Forks: 0

pyserve/Digit_Recognition_CNN

Model Optimization using Batch Normalization and Dropout Techniques

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Hamim-Hussain/Enhancing-Deep-Learning-Model-Performance

Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.

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felipenufisnor/ML_validation_optimization

Machine Learning: model optimization through hyperparameters

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yester31/Quantization_EX

quantization example for pqt & qat

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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.

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JLeigh101/deep-learning-challenge

NU Bootcamp Module 21

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sayakpaul/Knowledge-Distillation-in-Keras

Demonstrates knowledge distillation for image-based models in Keras.

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fabprezja/Deep-Learning-TPBook-Points

Some Key Points from the Deep Learning Tuning Playbook

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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.

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KyriakosPsa/Generalized-Linear-Models-numpy-only

This repository contains a generalized regression analysis problem solved from scratch, using only the Numpy library.

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emreyesilyurt/model_optimization_k-fold_and_grid_search

Model optimization with grid search and k-fold

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Midhilesh29/PostTrainingQuantization

compares different pretrained object classification with per-layer and per-channel quantization using pytorch

Language: Python - Size: 27.3 KB - Last synced: 12 months ago - Pushed: almost 4 years ago - Stars: 4 - Forks: 0

SmellyArmure/OC_DS_Project6

Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)

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SmellyArmure/OC_DS_Project4

Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)

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lattice-ai/Compressed-DNNs-Forget 📦

Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks

Language: Python - Size: 211 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 9 - Forks: 0

da2so/DA2Lite

DA2Lite is an automated model compression toolkit for PyTorch.

Language: Python - Size: 1.95 MB - Last synced: 12 months ago - Pushed: about 2 years ago - Stars: 8 - Forks: 6

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.

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TanyaChutani/Quantization_Tensorflow

Quantization for Object Detection in Tensorflow 2.x

Language: Python - Size: 6.84 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

Ashafa1905/Spain-Load-Short-fall-electricity-deficit Fork of James-Beta/Demo-Repo-2

This is an End to End project designed to model a solution on Spain electricity shortfall challenges and make future prediction.

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Ashafa1905/load-shortfall-regression-predict-api Fork of Explore-AI/load-shortfall-regression-predict-api

This is an End to End project and Api deployment for Spain electricity shortfall prediction

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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.

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slitayem/people-counter-intel-openvino Fork of udacity/nd131-openvino-fundamentals-project-starter

People Counter App at the Edge

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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.

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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.

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BobbyWilt/Kickstarter Fork of FT-Kickstarter-05/Kickstarter

Neural network model implemented with flask and SQL to predict the success status of over 100,000 kickstarter companies.

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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.

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cuongvng/Optimizing-Convolution-with-NEON-Intrinsics

Optimizing convolution function using ARM's NEON Intrinsics

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underflow101/ai-zipper

ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code

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Develop-Packt/Model-Optimization-and-Assessment

Practice model assessment and optimization on the HR dataset using validation and dimensionality reduction techniques

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