deep learning
### Bring deep learning to mobile in 2 minutes 📱🥂
A tool to detect content types with deep learning.
Dependency-free installer CLI for Deep Learning Pro Max skill
Torch-like deep learning framework for Javascript
Run modern deep learning models in the browser.
PyTorch like deep learning inferrence library
A set of blocks to create, train and evaluate deep learning models.
Javascript based deep learning framework for basic and convolutional neural networks.
Deep Learning library. Supports Convolutional (and ordinary) Neural Networks
Run modern deep learning models in Node.js.
Neural Networks & Deep Learning in JavaScript
Deep learning library in JavaScript
The fakedata package generates realistic synthetic user profiles for machine learning, deep learning, data analysis, and data science workflows.
Deep learning visualization for feed-forward networks with custom datasets, training and prediction.
This is a supporting library for the book Deep Learning With Javascript (https://dljsbook.com).
Deep learning module for nodejs
Javascript image annotate, use in deep learning
Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow
This is a supporting library for the book Deep Learning With Javascript (https://dljsbook.com).
Deep Learning Cafe | Components Library
A platform to visualize the deep learning process and result.
Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow
A platform to visualize the deep learning process and result.
Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
ML framework built on numr - attention, quantization, model architectures
Wrapper around Microsoft CNTK library
Basic neural network library for classification.
cuda ffi
cuda ffi
cuda ffi
Machine learning tools for rust. Currently comprising of categorization and generation neural network model training
Rust implementation of the Diffusers library using Torch.
CUDA backend for GhostFlow ML framework
Neural network layers for GhostFlow ML framework
An OpenCL, CUDA and CPU based Deep Learning Library
ruby-dnn is a ruby deep learning library.
Deep learning for Ruby, powered by LibTorch
(work in progress)
Deep learning recommendation systems for Ruby
Gem to access the twentybn.com deep learning api, which offers functions like image e.g. tagging, machine translation and sentiment analysis.
Deep Learning, the Ruby way
Ruby binding for Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
dAImond is a PyTorch-inspired deep learning framework for Ruby featuring automatic differentiation, neural networks, and a high-performance Rust backend for tensor operations. Achieves 89%+ accuracy on MNIST.
OPE Prop Library illustrates how to implement the OPE Prop algorithm in code. This library can be used in training or just to learn the algorithm. Keep in mind, OPE Prop is going to develop further, adding activation functions and other error functions in the future.
NeuralNet/DeepLearning implement for Ruby. You can use 'neural network' and 'deep learning' easily.
Retail enables you to build an end-to-end personalized recommendation system based on state-of-the-art deep learning ML models, without a need for expertise in ML or recommendation systems.
AI Platform Notebooks makes it easy to manage JupyterLab instances through a protected, publicly available notebook instance URL. A JupyterLab instance is a Deep Learning virtual machine instance with the latest machine learning and data science libraries pre-installed.
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