Go(lang) examples - (explain the basics of #golang)
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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
Artificial Neural Network
Learning Go Book in mmark
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Walk through a diff the way a senior engineer reads it. A read-only TUI that turns a git change into a guided tour.
LibraDB is a simple, persistent key/value store written in pure Go in less than 1000 lines for learning purposes.
Demo app for learning observability with Grafana and performance testing with k6.
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
Learn everything about Go in 7 days (from a Nodejs developer).
Building a population of models that trade crypto and mutate iteratively
Build systems with Go examples
Go(lang) benchmarks - (measure the speed of golang)
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
common creational, behavioural and structural patterns implemented in go 🤩
Go Scoring API for PMML