Deep Neural Networks
Showing 23 of 23 projects
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
LaTeX code and Python interface for creating publication-quality neural network architecture diagrams.
An open standard format for representing machine learning models to enable interoperability between frameworks.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.
Offline speech recognition toolkit supporting 20+ languages with small models and streaming API.
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
An engine-agnostic deep learning framework for Java developers, providing a high-level API for model training and inference.
An open-source cross-platform performance library of basic building blocks for deep learning applications, optimized for CPUs and GPUs.
A collection of handwritten notes, notebooks, and resources for Andrew Ng's Deep Learning Specialization on Coursera.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A framework for running deep neural network models directly in web browsers using ONNX format with WebGPU, WebGL, and WebAssembly backends.
An abstraction layer over MetalPerformanceShaders for crafting and running fast neural networks on iOS using TensorFlow models.
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