Neural Network
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A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A TensorFlow implementation of DeepMind's WaveNet neural network for generating raw audio waveforms.
Rust bindings for the C++ API of PyTorch, providing thin wrappers around libtorch.
A hands-on beginner's guide to machine learning and image classification using Caffe and DIGITS with neural networks.
An engine-agnostic deep learning framework for Java developers, providing a high-level API for model training and inference.
A high-level library for training and evaluating neural networks in PyTorch with a flexible engine and event system.
A fast and simple OCR library written in Swift, optimized for recognizing short alphanumeric codes like gift cards.
Fast and simple OCR library for iOS/macOS using neural networks, optimized for short alphanumeric codes.
A comprehensive .NET framework for machine learning, computer vision, statistics, and scientific computing.
A Python library offering scalable and user-friendly implementations of state-of-the-art neural forecasting models.
An open-source cross-platform performance library of basic building blocks for deep learning applications, optimized for CPUs and GPUs.
Intel's reference deep learning framework designed for high performance across CPUs, GPUs, and custom hardware.
A collection of handwritten notes, notebooks, and resources for Andrew Ng's Deep Learning Specialization on Coursera.
A TensorFlow project template with a well-designed folder structure and OOP design to accelerate deep learning development.
A neural network that automatically adds color to grayscale images using deep learning techniques.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.
A minimal, well-tested library for training and using feedforward artificial neural networks in ANSI C.
A curated list of awesome libraries, projects, tutorials, and resources for the JAX machine learning ecosystem.
A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.
A deep learning library in Rust featuring shape-checked tensors and neural networks with compile-time safety.
A deep learning library for Rust featuring shape-checked tensors and neural networks with compile-time safety.
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
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