30 open-source projects similar to ethereon/caffe-tensorflow, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Caffe Tensorflow alternative.
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Basic Development Environment - a set of foundational C++ libraries used at Bloomberg.
A curated list of network embedding techniques.
A graphics backend for the browser (with a Torch7 client).
Openface is a deep learning toolkit designed for facial recognition and identity verification. It provides a comprehensive pipeline for detecting faces, aligning landmarks, and transforming facial images into compact numerical vectors. By utilizing these embeddings, the system enables identity classification and similarity comparison through geometric distance calculations. The project distinguishes itself by integrating research-oriented diagnostic tools alongside its core recognition capabilities. It includes utilities for visualizing high-dimensional feature clusters, inspecting internal c
Sonnet is a modular machine learning framework and TensorFlow library used for building, training, and managing deep learning models. It functions as a system for composing neural networks from reusable modules and layers that encapsulate their own parameters and internal states. The project provides specialized tools for distributed model training, enabling the synchronization of gradients across multiple hardware devices. It also serves as a model state management system, allowing for the persistence of neural network weights and the export of portable models that separate the computation g
Implementations of the repository pattern for .NET to support the domain-driven modeling
An easy-to-use rapid development framework developed on the basis of.NET Core 2.0, following the constraints of domain Driven Design (DDD) specifications, combined with the CQRS architecture to provide the infrastructure for event-driven, event backtracking, responsiveness, and more. Let developers enjoy the true meaning of object-oriented design patterns brought by the aesthetic.
Deep Pink is a chess AI that learns to play chess using deep learning.
Async/await first CQRS+ES and DDD framework for .NET
Folly is a collection of high-performance C++ components designed as an extension to the C++ Standard Library for large-scale production environments. It provides specialized toolkits for memory management, concurrency, asynchronous workflows, and low-latency input and output operations. The project distinguishes itself through the provision of lock-free containers and bounded queues to minimize contention in multi-threaded applications, alongside a framework for managing deferred computations using futures and promises. It further offers specialized memory arenas and optimized implementation
This project is a cross-platform mobile framework that enables the development of native iOS and Android applications from a single codebase. It utilizes a declarative component-based model where developers define user interfaces using a syntax extension that maps directly to underlying platform-native view primitives. By decoupling application logic from the host platform's main thread, the framework maintains a consistent native view hierarchy while ensuring that JavaScript execution remains independent of UI rendering. The framework distinguishes itself through a robust bridge architecture
An eventing framework for building high performance and high scalability systems in C.
go-swagger is a toolkit for working with Swagger/OpenAPI 2.0 specifications in Go. It generates server, client, and CLI code from a specification document, and can also produce a specification by scanning annotated Go source code. The project includes a static validation engine that checks documents against the schema and project-specific rules, and a specification transformation pipeline that resolves, flattens, and merges documents. The toolkit generates both client and server code from the same specification, ensuring consistency in request and response handling. It also produces a command
DeepDream is a deep learning image processor and convolutional neural network art generator designed to synthesize psychedelic imagery and visualize how neural networks interpret visual data. It functions as a tool for generating generative AI art by amplifying patterns recognized by a pre-trained model to produce dream-like effects. The project utilizes a TensorFlow image visualizer to explore how different layers of a neural network perceive images. This is achieved through algorithmic image manipulation and deep learning visualization techniques that transform standard photographs into sty
A recurrent neural network designed to generate classical music.
Command Query Separation for 🌐ASP.NET Core ⚡AWS Lambda ⚡Azure Functions ⚡Google Cloud Functions
.NET Transactional Document DB and Event Store on PostgreSQL
MediatR is a .NET library for implementing the mediator pattern, serving as an in-process message broker that decouples senders and receivers by routing messages through a central dispatcher. It enables the transmission of requests and notifications between different components within a single application process. The framework provides a pipeline behavior system that allows for the interception and processing of messages through a sequence of custom behaviors. This architecture is used to implement cross-cutting concerns, such as logging or validation, across multiple handlers. The library
This project is a professional development repository that provides structured learning paths for individuals pursuing careers in data-centric engineering and artificial intelligence. It functions as a competency benchmarking framework, defining the core knowledge areas and technical milestones required to achieve proficiency in specialized domains. The repository distinguishes itself through hierarchical knowledge graphing, which organizes complex technical subjects into nested tree structures to create clear, progressive learning sequences. By centralizing curated educational resources and