A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
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Updated
Oct 14, 2024 - Python
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.
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
mlpack: a fast, header-only C++ machine learning library
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Federated learning framework made by researchers for researchers :)
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
Advanced Machine Learning and Visualization
A machine learning library created from scratch with Rust. It focuses on deep learning and neural networks, providing efficient implementations of popular ML algorithms.
A toolkit for making real world machine learning and data analysis applications in C++
A simple AutoML tool for small datasets with useful helper functions
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Next generation of machine learning artifact management and observability
This project is to combine computer vision and artificial intelligence to create efficient and user-friendly parking systems. Facilitating users to avoid unnecessary confusion on parking. Used Live detection techniques to improve efficiency.
A machine learning library for Python and Rust, for PyTorch, Tensorflow and SKLearn models
💬 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
Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.
classic machine learning algorithm implementation with clean and readable code
Spherical harmonic shape descriptors, promolecule densities, isosurfaces and Hirshfeld surfaces in python