Go library for the TOML file format
- go
- toml
- toml-parsing
- hacktoberfest
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A C++20 library for fast serialization, deserialization and validation using reflection. Supports JSON, Avro, Boost Serialization, BSON, Cap'n Proto, CBOR, Cereal, Command line interfaces, CSV, Environment variables, flexbuffers, msgpack, parquet, TOML, UBJSON, XML, YAML, yas / msgpack.org[C++20]
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
GoMLX: An Accelerated Machine Learning Framework For Go
- go
- golang
- machine-learning
- neural-network
On-line Machine Learning in Go (and so much more)
Per project developer environments
- nix
- toml
- direnv
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
TOML for Modern C++
- toml
- c-plus-plus-11
- c-plus-plus
- parser
CleanroomLogger provides an extensible Swift-based logging API that is simple, lightweight and performant
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
An autoML framework & toolkit for machine learning on graphs.
Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.
- anti-crawling
- cloud-native
- crawler
- deception
GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.
Machine learning for Ruby
- machine-learning
- rubyml
- automl
Flutter weather application with beautiful UI and UX.
Simple, useful and opinionated config loader.
- go
- golang
- dependency-free
- config
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Translated📝 Go configuration manage(load,get,set,export). support JSON, YAML, TOML, Properties, INI, HCL, ENV and Flags. Multi file load, data override merge, parse ENV var. Go application configuration loading and management, supporting multiple formats, multi-file loading, remote file loading, data merging, and parsing of environment variable names
- config
- config-management
- json
- yaml
Neural Networks written in go
Cross-platform config file CLI toolchain. Validates syntax, schema compliance, and formatting across 18 different configuration file types. Written in Go.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- python
- pytorch
- machine-learning
- deep-learning
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A minimalist Go configuration library
- golang
- go
- configuration
- config-file
Easily output ASCII tree from Go program or Markdown unordered list . There's also CLI tool that can output tree from JSON, YAML, or TOML! It's called *xtree*.
- tree
- markdown
- tree-structure
- directory