30 open-source projects similar to alibaba/pipcook, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
This project is a collection of educational Jupyter Notebooks providing tutorials on neural network construction and tensor operations using the TensorFlow framework. It serves as a machine learning educational repository and implementation guide for deep learning students. The suite focuses on specific advanced architectures, including convolutional networks for image classification, residual networks with skip connections for training stability, and variational autoencoders for generative modeling and data synthesis. It also includes guides for building denoising and deep autoencoders to pe
This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers
ABP is an opinionated architectural framework for building enterprise software solutions using .NET and ASP.NET Core. It serves as a structural toolkit for implementing domain-driven design and microservices patterns, providing a modular enterprise architecture where functionality is organized into independent, pluggable modules. The platform is specifically designed to support multi-tenant SaaS architectures, isolating data and configurations for multiple independent customers within a single application instance. It provides enterprise boilerplate infrastructure and pre-configured templates
This repository serves as a comprehensive educational resource for mastering machine learning and deep learning through a series of interactive Jupyter Notebooks. It provides a structured collection of tutorials and code examples designed to guide users through the fundamental and advanced techniques of the Python data science ecosystem. The project distinguishes itself by offering hands-on exercises that demonstrate the full lifecycle of machine learning projects. Users can explore end-to-end data pipelines, ranging from initial data loading and preprocessing to the training and deployment o
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated trading strategies. It functions as a quantitative finance toolkit that integrates deep learning algorithms with financial market simulations to address complex portfolio management and asset allocation tasks. The platform provides an end-to-end pipeline for transforming raw market data into actionable trading models. The project distinguishes itself through a layered, modular architecture that separates data processing, environment simulation, and agent training. This design allow
This project is a community-driven knowledge repository and technical learning resource focused on the field of generative artificial intelligence. It serves as a centralized hub for developers and practitioners to access curated research, tutorials, and foundational concepts necessary for building and deploying modern artificial intelligence applications. The platform distinguishes itself through a collaborative, distributed contribution model that aggregates diverse learning materials into a structured, searchable knowledge base. It covers a wide range of specialized topics, including retri
OpenAI API Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible!
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
NETCoreSync is a database synchronization framework where each client's local offline database (on each client's multiple devices) can be synchronized on-demand via network into a single centralized database hosted on a server. Data which are stored locally within each device of a single client…
Alexa Skills Kit SDK for Java
Alexa Skills Kit SDK for Node.js
Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont
This repo is now mostsly irrelevant. Four years later, Apple now supports this directly: https://developer.apple.com/videos/play/wwdc2020/10644/
🌌 Isomorphic framework for server-rendered React apps
fish-redux is a Flutter application framework and state management library that implements a Redux-based workflow. It provides a centralized state container and uses reducers and actions to maintain a single source of truth, ensuring data consistency across application screens and components. The framework includes a state-to-UI connector that transforms raw state data for display and automatically updates views. It features a component lifecycle manager that triggers logic and state updates based on when UI components mount or unmount. The project covers dependency injection for reducing co
The Swiss Army Knife of Offline AI. Chat, Speak, and Generate Images - Privacy First, Zero Internet. Download an LLM and use it on your mobile device. No data ever leaves your phone. Supports text-to-text, vision, text-to-image
Metric learning algorithms in Python
An open source framework for research in Embodied-AI from AI2.
Nix dependency pinning. Very similar to Niv but has a few features that I personally wanted.
A minimalist SDK for developing skills for the Amazon Echo's ASK - Alexa Skills Kit using Amazon Web Services's Python Lambda Functions. Currently supported profiles are for Linux servers and AWS Lambda. Check the appropriate release branch. The cherrypy release branches have added components for request validation.
A Framework for creating Amazon Echo (Alexa) skills using Node.js