svc
Here are 247 public repositories matching this topic...
AI Vtuber是一个由 【ChatterBot/ChatGPT/claude/langchain/chatglm/text-gen-webui/闻达/千问/kimi/ollama】 驱动的虚拟主播【Live2D/UE/xuniren】,可以在 【Bilibili/抖音/快手/微信视频号/拼多多/斗鱼/YouTube/twitch/TikTok】 直播中与观众实时互动 或 直接在本地进行聊天。它使用TTS技术【edge-tts/VITS/elevenlabs/bark/bert-vits2/睿声】生成回答并可以选择【so-vits-svc/DDSP-SVC】变声;指令协同SD画图。
-
Updated
Aug 1, 2024 - Python
All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab
-
Updated
Jul 30, 2024 - Jupyter Notebook
-
Updated
Jul 29, 2024 - Jupyter Notebook
-
Updated
Jul 25, 2024 - Jupyter Notebook
🚀 Docker image with supervisord and sshd (rootless version)
-
Updated
Jul 22, 2024 - Shell
🚀 Docker image with supervisord and sshd
-
Updated
Jul 22, 2024 - Shell
A university project related to data mining lesson on StackOverflow website data with Python language
-
Updated
Jul 19, 2024 - Python
Utilizing machine learning models including logistic regression, random forest, gradient boosting, and neural networks to identify fraudulent credit card transactions. Dataset, consisting of PCA-transformed features and unbalanced classes, required precision-recall metrics for accurate evaluation. Developed in Python using TensorFlow and scikit.
-
Updated
Jul 10, 2024 - Jupyter Notebook
⚡️ 80x faster language detection with Fasttext | Split text by language for TTS
-
Updated
Jul 8, 2024 - Python
Analyzed time-series data (Depressjon) to detect depression from patient activity recorded via clinical actigraphy watches. Utilized features such as time domain, statistical metrics, and LSTM-extracted attributes.
-
Updated
Jun 30, 2024 - Jupyter Notebook
email spam classification is to identify and filter out unwanted emails,
-
Updated
Jun 26, 2024 - Jupyter Notebook
Project for the course "Introduction to Machine Learning and Evolutionary Robotics" - UniTS.
-
Updated
Jun 8, 2024 - Python
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
-
Updated
Jun 8, 2024 - Jupyter Notebook
Predicting the likelihood of candidates joining the company or not
-
Updated
Jun 2, 2024 - Jupyter Notebook
Analyzing Gujarat's education system with ML, we predict student dropout rates using demographic, economic, academic, and social data. Rigorous preprocessing, feature engineering, and model training aim to develop accurate dropout prediction models. Insights gained inform targeted interventions for dropout prevention.
-
Updated
Jun 2, 2024 - Jupyter Notebook
-
Updated
May 26, 2024 - Jupyter Notebook
This Python script visualizes the decision boundaries created by a linear Support Vector Classifier (SVC) on the Iris dataset. It utilizes scikit-learn for machine learning functionalities and matplotlib for plotting. The code loads the Iris dataset, trains a linear SVC on the first two features (sepal length and sepal width)
-
Updated
May 24, 2024 - Jupyter Notebook
This is a binary classification problem. There are numerous factors that can contribute to the presence of heart disease. What is the most important factor causing heart disease? Can an accurate classifier be built to predict the presence of heart disease in patients? These are the questions we want to answer with this project.
-
Updated
May 21, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the svc topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the svc topic, visit your repo's landing page and select "manage topics."