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Open Source Marketplace For Developer Tools
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
TranslatedGo learning, advanced Go, practical Go utility classes, Go DDD project implementation, Go-kit, Go-Micro, Go push platform, microservice practice
The Go kernel for Jupyter notebooks and nteract.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Learn how to write webapps without a framework in Go.
Repo for learning observability
A well tested and comprehensive Golang statistics library package with no dependencies.
Go 学习之路:Go 开发者博客、Go 微信公众号、Go 学习资料(文档、书籍、视频)
Gaining advanced insights from Git repository history.
Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.
Interactive Go programming with Jupyter
Jump helps you navigate faster by learning your habits. ✌️
Self-contained Machine Learning and Natural Language Processing library in Go
Go(lang) examples - (explain the basics of #golang)
GoMLX: An Accelerated Machine Learning Framework For Go
On-line Machine Learning in Go (and so much more)
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A foundational and practical guide for effectively learning and progressively building a blockchain from scratch in Go with gRPC