There are 9 repositories under model-training topic.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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.
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑💻 Video Tutorials.
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.
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.
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.
Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints
PyTorch model training and layer saturation monitor
A script that can be used to capture various porn novels for machine learning / 一个可以用于抓取各类色情小说用于机器学习的脚本
A ready-to-use notebook!
Simplified Deep Image Matting training code with keras on tensorflow
Accelerating AI Training and Inference from Storage Perspective (Must-read Papers on Storage for AI)
Experiments with Model Training, Deployment & Monitoring
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.
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
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 🚀
Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.
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.
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
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.
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
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.
Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"
python script to download & process data to train a speech-synthesis model of Vietnamese M.C. Nguyễn Ngọc Ngạn
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! 📊🚀"
Approach to implementing distributed training of an ML model: server/device training for iOS and macOS.
Определение количества позиций товара на витрине по фотографиям. (label-studio, yolov5, torch, rabbitmq, pika, docker-compose)
Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.
Malaria Identification System Using Deep Learning
Bittensor Subnet for crypto prediction, including TAO, BTC, ETH so on...
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.
This bert model uses tf.data api as input data pipeline and perform classification of the desired cases.