The Unified AI Framework
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Updated
Jul 1, 2024 - Python
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
The Unified AI Framework
“under the hood” neural network for the Iris Flower Classification (100% accuracy) + Jupyter Notebook tutorial
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualizer for neural network, deep learning and machine learning models
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
a c++ implementation of micrograd
Deep learning training framework for image super resolution and restoration.
On-device Neural Engine
Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
An Open Source Machine Learning Framework for Everyone
The Sakata Index is a technical indicator that uses neural network.
A python package to calculate the dysbiosis score in microbiome datasets
A Deep learning library for neutrino telescopes
cross-platform high speed inference SDK
Machine learning library