Topic: model-optimization Goto Github
Some thing interesting about model-optimization
Some thing interesting about model-optimization
model-optimization,Aprendizagem e Extração de Conhecimento
User: a82516
model-optimization,Implementations of machine learning algorithms from scratch using python and numpy
User: albinfranzen
model-optimization,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.
User: aliamini93
model-optimization,A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.
User: amascasadesus
model-optimization,The 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
User: annbelbella
model-optimization,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.
User: antoniolunardi
model-optimization,A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning 🚀
Organization: awesome-mlops
model-optimization,Affordable GNN using Topological Contraction
User: basiralab
model-optimization,Vision-lanugage model example code.
User: bnabis93
model-optimization,Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction
User: caailab
model-optimization,Optimizing convolution function using ARM's NEON Intrinsics
User: cuongvng
model-optimization,DA2Lite is an automated model compression toolkit for PyTorch.
User: da2so
model-optimization,Model optimization with grid search and k-fold
User: emreyesilyurt
model-optimization,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.
User: equinox-m
model-optimization,Some Key Points from the Deep Learning Tuning Playbook
User: fabprezja
model-optimization,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.
User: hamim-hussain
model-optimization,a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
User: hanxinzi-ai
model-optimization,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.
User: jayplect
model-optimization,NU Bootcamp Module 21
User: jleigh101
model-optimization,Some DNN model optimization experiments and notebooks
User: k0mp0t
model-optimization,Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.
User: ksm26
Home Page: https://www.deeplearning.ai/short-courses/quantization-fundamentals-with-hugging-face/
model-optimization,This repository contains a generalized regression analysis problem solved from scratch, using only the Numpy library.
User: kyriakospsa
model-optimization,Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
Organization: lattice-ai
Home Page: https://share.streamlit.io/sauravmaheshkar/compressed-dnns-forget/web-app/app.py
model-optimization,Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
User: lusinlu
model-optimization,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💖
User: maitrechen
model-optimization,TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.
User: marcpaulo15
model-optimization,compares different pretrained object classification with per-layer and per-channel quantization using pytorch
User: midhilesh29
model-optimization,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.
User: mkldhz
model-optimization,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.
User: mrinmoihossain
model-optimization,Intermediate Machine Learning Course By Kaggle
User: niharjani2002
Home Page: https://www.kaggle.com/learn/intermediate-machine-learning
model-optimization,This project uses YOLOv5 architecture for creating guns and knifes real time detection
User: nizarassad
model-optimization,Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.
User: paschalugwu
model-optimization,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
User: pgeedh
Home Page: https://www.coursera.org/learn/keras-tuner/home/week/1
model-optimization,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.
User: purushothaman-natarajan
model-optimization,Model Optimization using Batch Normalization and Dropout Techniques
User: pyserve
model-optimization,Create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup
User: rmat112
model-optimization,This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
User: sayakpaul
model-optimization,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.
User: sayakpaul
model-optimization,Demonstrates knowledge distillation for image-based models in Keras.
User: sayakpaul
model-optimization,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.
User: sayamalt
model-optimization,Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)
User: smellyarmure
model-optimization,Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
User: smellyarmure
model-optimization,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.
User: smrodrigo96
model-optimization,Automated Shorthand Recognition using Optimized DNNs
User: sub1120
model-optimization,Quantization for Object Detection in Tensorflow 2.x
User: tanyachutani
model-optimization,ptdeco is a library for model optimization by decomposition built on top of PyTorch
Organization: tclresearcheurope
model-optimization,ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
User: underflow101
model-optimization,quantization example for pqt & qat
User: yester31
model-optimization,"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.
User: yihong1120
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