Topic: model-training Goto Github
Some thing interesting about model-training
Some thing interesting about model-training
model-training,This repository contains a project showcasing Federated Learning using the EMNIST dataset. Federated Learning is a privacy-preserving machine learning approach that allows a model to be trained across multiple decentralized devices or servers holding local data samples, without exchanging them.
User: aayush711
model-training,Simplified Deep Image Matting training code with keras on tensorflow
User: adumrewal
Home Page: https://arxiv.org/abs/1703.03872
model-training,OneTrainer docker images for use in GPU cloud and local environments. Includes AI-Dock KDE Plasma desktop with GPU acceleration and audio for authentication and improved user experience.
Organization: ai-dock
model-training,Model training examples for NeoPulse AI Studio AMI
Organization: aidynamics
model-training,Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.
User: animikhaich
model-training,Deep Learning based research project for predicting mental state of a person.
User: apekshar5
model-training,Easy-to-Use library to recognize faces, train the model, provide predictions
User: asheswook
model-training,A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning 🚀
Organization: awesome-mlops
model-training,A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Organization: awesome-mlops
model-training,This bert model uses tf.data api as input data pipeline and perform classification of the desired cases.
User: ayxxn-shxrif
model-training,Your all-in-one platform to build and use AI apps effortlessly on your own computer.
Organization: blib-la
model-training,Energy consumption prediction of a building
User: cereniyim
model-training,Multi-label classification of various tree types
User: cereniyim
model-training,PyTorch model training and layer saturation monitor
Organization: delve-team
Home Page: https://delve-docs.readthedocs.io
model-training,Approach to implementing distributed training of an ML model on mobile devices.
User: denissimon
model-training,Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"
User: fangvv
model-training,Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
User: hameem1
model-training,Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
User: joepenna
model-training,Malaria Identification System Using Deep Learning
User: khalid-akhss19
model-training,Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
User: ltfschoen
model-training,Guess hollywood celebrities using logistic regression algorithm
User: mashymali
Home Page: https://bit.ly/3OoebNk
model-training,This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
Organization: matlab-deep-learning
Home Page: https://www.mathworks.com/solutions/deep-learning.html
model-training,Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.
User: maxsitt
Home Page: https://maxsitt.github.io/insect-detect-docs/
model-training,skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Organization: medoidai
model-training,Implementation of Othello game with model training using evolutionary algorithms
User: mehditeymorian
model-training,Resource scheduling and cluster management for AI
Organization: microsoft
Home Page: https://openpai.readthedocs.io
model-training,This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.
User: mohamedamine99
model-training,Supervised ML - Regression Using Python This dataset was extracted and uploaded for the purpose of experimenting with and learning regression models for price prediction. There is also a lot of room for data cleaning, outliers in the data, and plenty of data to work with for more realistic model training, testing, and validation.
User: navjotkhatri
model-training,Dialogos: Pioneering Interactive Narratives and Language Proficiency with Enhanced AI in Unity
Organization: naxzyu
model-training,Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.
User: nikola-popov
model-training,This project contains the file of my undergraduate Final Year Project. This project aims to expose cyberbullying in Twitter by using Machine Learning to classify whether the tweet is suspicious or not. A deployment has been created using streamlit.
User: notrichbish
model-training,This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
User: olamide100
model-training,Neural networks training pipeline based on PyTorch
Organization: piepline
Home Page: https://piepline.readthedocs.io/en/stable
model-training,Experiments with Model Training, Deployment & Monitoring
User: prabhuomkar
model-training,Run remote machine learning model training jobs right from the command line.
User: residentmario
Home Page: https://residentmario.github.io/fahr/
model-training,Evolutionary Neural Architecture Search framework that improves performance of your DL models
User: revisorteam
model-training,Demonstrates on how to train your model on custom class using tensorflow
User: rktayal
model-training,🎯 A facial recognition/detection app with Angular using Microsoft's Face API
User: saberglow
Home Page: https://saberglow.github.io/Deja-Vu/
model-training,This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
User: sayakpaul
Home Page: https://cloud.google.com/blog/topics/developers-practitioners/model-training-cicd-system-part-ii
model-training,Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.
User: sayamalt
model-training,SkyChat是一款基于中文GPT-3 api的聊天机器人项目。它可以像chatGPT一样,实现人机聊天、问答、中英文互译、对对联、写古诗等任务。| SkyChat is a Chatbot project based on Chinese GPT3 API. Like chatGPT, it can do human-machine chat, question and answer, and can also complete tasks such as Chinese-English or English-Chinese translation, content continuation, couplets, and Chinese ancient poems writing.
User: skyworkaigc
Home Page: https://openapi.singularity-ai.com/index.html#/
model-training,SkyText是由奇点智源发布的中文GPT3预训练大模型,可以进行文章续写、对话、中英翻译、内容风格生成、推理、诗词对联等不同任务。| SkyText is a Chinese GPT3 pre-trained large model released by Singularity-AI, which can perform different tasks such as chatting, Q&A, and Chinese-English translation.
User: skyworkaigc
Home Page: https://openapi.singularity-ai.com/index.html#/
model-training,Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.
User: sminerport
Home Page: https://scottminer.netlify.app
model-training,Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints
User: tobecwb
model-training,A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Organization: unity-technologies
model-training,🔷 Diamond Price Prediction Model 🔷 - A machine learning project for accurately forecasting diamond prices. Explore data exploration, feature engineering, and model training, providing valuable insights into the diamond market."
User: vaishnavish14
model-training,Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"
User: vidhi1290
model-training,Определение количества позиций товара на витрине по фотографиям. (label-studio, yolov5, torch, rabbitmq, pika, docker-compose)
User: yyalexx
Home Page: https://yyalexx-vizit-demo-predict-p1curo.streamlit.app/
model-training,🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
User: zhaoj9014
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