Content aware image resize library
- seam-carving
- image-processing
- image-resize
- edge-detection
Repository Index
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An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Artificial Intelligence Infrastructure-as-Code Generator.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
- deep-learning
- machine-learning
- ml-platform
- ml-infrastructure
Gaining advanced insights from Git repository history.
- git-analysis
- machine-learning
- tensorflow
- git
Self-contained Machine Learning and Natural Language Processing library in Go
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
- axiom
- data-structures
- go
- golang
Self-contained Japanese Morphological Analyzer written in pure Go
- japanese
- tokenizer
- nlp-library
- japanese-language
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
- go
- onnx
- neural-network
- open-source
Naive Bayesian Classification for Golang.
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Neural Networks written in go
Speech, voices, stories, audiobooks, dubbing and transcription, made on your Mac. Free and open source.
- speaker-diarization
- speech-synthesis
- speech-to-text
- text-to-speech
Bayesian text classifier with flexible tokenizers and storage backends for Go
TranslatedA Zhuyin (Bopomofo) input method that needs no character selection: it uses a Transformer locally to choose characters based on the preceding text. Supports Linux (Fcitx5/IBus), macOS, and Windows.
- bopomofo
- chinese-input-method
- fcitx5
- go
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
Search the web and primary sources, read full pages, and check every citation. MCP server for Claude, Cursor, Codex and more. Runs on your machine.
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
- agentic-ai
- ai
- ai-agents
- golang
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
- ai
- golang
- llm
- structured-output
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
- golang
- go
- machine-learning
- stats
🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.