Advanced Machine Learning and Visualization
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Updated
Jul 4, 2024 - R
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Advanced Machine Learning and Visualization
Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
mlpack: a fast, header-only C++ machine learning library
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Machine learning library
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Machine learning library
Federated learning framework made by researchers for researchers :)
A high-level machine learning and deep learning library for the PHP language.
Open-source AI library (audio to text, simple NLP, and common algorithms)
Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A toolkit for making real world machine learning and data analysis applications in C++
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
A common interface for registering, validating and auditing machine learning artifacts
Will be updating work done by me in Machine Learning
Android application for detecting objects || Using machine learning libraries || camera usage || gallery || image taking from emulator