GitHub topics: model-optimization
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。
Size: 49.8 MB - Last synced at: about 9 hours ago - Pushed at: about 1 year ago - Stars: 273 - Forks: 34
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.
Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 39.1 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 0
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.
Language: Python - Size: 88.8 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0
vanhai1231/autoquant-infer
Công cụ giảm kích thước mô hình bằng Quantization, kết hợp AI Agent để tự động chọn mức tối ưu, giúp tăng tốc và tiết kiệm chi phí inference.
Language: Python - Size: 54.7 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
happyvibess/mlflow-assist
Language: Python - Size: 73.2 KB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
novianggita/Hyperparameter-Tuning
This repository contains a notebook that demonstrates how to perform hyperparameter tuning on various classification models using a binary classification dataset. The goal is to evaluate and improve model performance through systematic tuning.
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
levisstrauss/Advanced-Food-Classification-System-EfficientNetB2
Computer vision project that classifies 101 food categories with 80.2% accuracy using fine-tuned EfficientNetB2 and PyTorch. Features interactive Gradio UI, optimized inference (~100ms/image), and strategic training on 20% of Food101 dataset for efficient resource utilization.
Language: Python - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Jayplect/Funding-recommendation-engine
For this project, I built a binary classifier to predict the success of applicants seeking funding from Alphabet Soup. Leveraging the features in the dataset, the model uses machine learning and neural networks to make accurate predictions.
Language: Jupyter Notebook - Size: 110 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
Alireza-Motazedian/Dockerized_CNN
Curated Convolutional Neural Networks — A focused collection of CNN projects covering image classification, feature extraction, and model optimization with clean, modular, and scalable implementations.
Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
TCLResearchEurope/ptdeco
ptdeco is a library for model optimization by matrix decomposition built on top of PyTorch
Language: Python - Size: 324 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 1
sayakpaul/Adventures-in-TensorFlow-Lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Language: Jupyter Notebook - Size: 49.1 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 170 - Forks: 35
AishwaryaGade02/Analyzing-Animated-Movie-Release-Date-Patterns-and-its-Effect-on-Revenue
Predicting the release date for the anime movie to maximize the revenue of the movie
Language: Jupyter Notebook - Size: 439 KB - Last synced at: 15 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
adil-faiyaz98/neural-scope
A comprehensive tool for analyzing machine learning models with CI/CD integration. Features include pre-trained model support, security analysis, adversarial robustness, testing, model versioning and MLFlow integration
Language: Python - Size: 123 MB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
skumbhar272002/heart-disease-classification
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.
Language: Python - Size: 3.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
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.
Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
devrijhwani3118/MovieRecommenderSystem
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
Language: Python - Size: 81.1 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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 at: 6 days ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 0
ArtZaragozaGitHub/NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers
Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 179 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
sayakpaul/Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
Language: Jupyter Notebook - Size: 6.62 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 53 - Forks: 20
heixiaopengyou/TINY-ML-for-FOC-of-PMSM-20092024
Enhanced BR2804-1700KV Motor Field Oriented Control with a Tiny Neural Network
Language: MATLAB - Size: 1.86 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0
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.
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 32 - Forks: 8
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. 🚀
Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
BjornMelin/edge-ai-engineering
📱 Optimized ML for edge devices. Showcasing efficient model deployment, GPU-CPU memory transfer optimization, and real-world edge AI applications. 🤖
Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
DataStatsMohith/Sales-Forecasting
Predicts store sales using machine learning models, featuring data preprocessing, feature engineering, and hyperparameter tuning. Includes end-to-end workflows for model optimization and evaluation. Visualizes insights and performance metrics with SHAP analysis and feature importance plots.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
WalidAlsafadi/Store-Sales-TS-Forecasting
Use machine learning to predict grocery sales
Language: Jupyter Notebook - Size: 833 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 205 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 9
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.
Language: Jupyter Notebook - Size: 243 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 26 - Forks: 4
EricaYanoshak/AI-Purchase-Behavior-Project
This project focuses on predicting customer purchase behavior using machine learning models, with an emphasis on feature importance.
Language: HTML - Size: 7.97 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
DavidAlmagro/FeatureEngineering_WrapperMethods
Implementation of wrapper methods for selecting optimal feature subsets to improve model performance.
Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1
ananyakaligal/Quantized-Finetuning
This repository presents an efficient approach for fine-tuning large language models for the medical domain using 4-bit quantization and LoRA techniques.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ShudufhadzoRamuada/Data-Science-03
This project uses XGBoost, a gradient boosting algorithm, to predict client subscription to a term deposit based on demographic and behavioral features from a bank’s marketing campaign. With an accuracy of 90.64% and a ROC-AUC score of 0.9290, the model demonstrates strong performance in classifying whether clients will subscribe to the offer.
Language: Jupyter Notebook - Size: 203 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
sarojinisharon/Object-Detection-with-Faster-R-CNN
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
Language: Python - Size: 10.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
sunnivin/optimize_your_curves
A talk and demo of how to do curve fitting with python
Language: HTML - Size: 1.42 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 118 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
TanyaChutani/Quantization_Tensorflow
Quantization for Object Detection in Tensorflow 2.x
Language: Python - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
Nizarassad/Guns-Knifes-detection
This project uses YOLOv5 architecture for creating guns and knifes real time detection
Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
skaurl/P4-Model-Optimization
“초”경량 이미지 분류기
Language: Python - Size: 434 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 0
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.
Language: HTML - Size: 1.04 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1
NiharJani2002/kaggle-Intermediate-Machine-Learning
Intermediate Machine Learning Course By Kaggle
Language: Jupyter Notebook - Size: 108 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
paschalugwu/alx-data_science-NLP
Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.
Language: Jupyter Notebook - Size: 84 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Shubham235Chandra/HomeScope
HomeScope is an end-to-end data science project that predicts California's median house prices using a Random Forest Regressor. It offers detailed data preprocessing, a user-friendly Streamlit interface, and full deployment guidance, serving as a comprehensive tool for real estate market analysis.
Language: Jupyter Notebook - Size: 6.19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
vi2enne/Neural-Network-Pruning
Language: Python - Size: 60.5 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - 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 at: about 1 year ago - Pushed at: over 1 year 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.
Size: 1.67 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
AlbinFranzen/ML-Algorithms-From-Scratch
Implementations of machine learning algorithms from scratch using python and numpy
Language: Jupyter Notebook - Size: 959 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
sub1120/PSR-KD
Automated Shorthand Recognition using Optimized DNNs
Language: Jupyter Notebook - Size: 23 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 0
bnabis93/vision-language-examples
Vision-lanugage model example code.
Language: Python - Size: 2.99 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 0
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.
Language: Shell - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
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
Language: Jupyter Notebook - Size: 786 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
K0mp0t/DNN_Model_optimization
Some DNN model optimization experiments and notebooks
Language: Jupyter Notebook - Size: 128 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
basiralab/CQSIGN
Affordable GNN using Topological Contraction
Language: C - Size: 36.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 286 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
A82516/AEC
Aprendizagem e Extração de Conhecimento
Size: 1.23 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
pyserve/Digit_Recognition_CNN
Model Optimization using Batch Normalization and Dropout Techniques
Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 795 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
felipenufisnor/ML_validation_optimization
Machine Learning: model optimization through hyperparameters
Language: Jupyter Notebook - Size: 188 KB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
yester31/Quantization_EX
quantization example for pqt & qat
Language: Python - Size: 94.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
fabprezja/Deep-Learning-TPBook-Points
Some Key Points from the Deep Learning Tuning Playbook
Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1
JLeigh101/deep-learning-challenge
NU Bootcamp Module 21
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 680 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
KyriakosPsa/Generalized-Linear-Models-numpy-only
This repository contains a generalized regression analysis problem solved from scratch, using only the Numpy library.
Language: Jupyter Notebook - Size: 3.17 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
emreyesilyurt/model_optimization_k-fold_and_grid_search
Model optimization with grid search and k-fold
Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
Midhilesh29/PostTrainingQuantization
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
Language: Python - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0
SmellyArmure/OC_DS_Project6
Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
Language: Jupyter Notebook - Size: 95.7 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
SmellyArmure/OC_DS_Project4
Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)
Language: Jupyter Notebook - Size: 105 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
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 at: 4 days ago - Pushed at: about 4 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 at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 6
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.
Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2
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
Size: 1.12 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
slitayem/people-counter-intel-openvino Fork of udacity/nd131-openvino-fundamentals-project-starter
People Counter App at the Edge
Language: Python - Size: 12.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 84.1 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 123 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 4
cuongvng/Optimizing-Convolution-with-NEON-Intrinsics
Optimizing convolution function using ARM's NEON Intrinsics
Language: C++ - Size: 135 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
underflow101/ai-zipper
ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Develop-Packt/Model-Optimization-and-Assessment
Practice model assessment and optimization on the HR dataset using validation and dimensionality reduction techniques
Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
