go-ml-benchmarks
Machine Learning Benchmark
A benchmarking project comparing performance of different machine learning inference frameworks and models on Go platform
⏱ Benchmarks of machine learning inference for Go
30 stars
3 watching
2 forks
Language: Go
last commit: 10 months ago
Linked from 3 awesome lists
benchmarkscppgogrpcinferencemachine-learningpythonscikit-learnxgboost
Related projects:
Repository | Description | Stars |
---|---|---|
| A Go library for fast and simple feature engineering and machine learning data preprocessing | 121 |
| A benchmark for evaluating machine learning algorithms' performance on large datasets | 1,874 |
| A benchmarking package for the Go language. | 61 |
| Provides pre-built implementations of machine learning algorithms in Go | 202 |
| Macro-benchmarks for performance monitoring and development of the Go programming language. | 188 |
| A collection of benchmarks for various Go programming language features and patterns | 108 |
| A high-level machine learning library built on Gorgonia for Go that aims to provide an easy-to-use interface for building and training neural networks. | 373 |
| Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
| Comparative benchmarks of various machine learning algorithms | 169 |
| A collection of miscellaneous Go benchmarks focused on performance optimization. | 147 |
| A Go library that provides an online machine learning framework with various algorithms and models | 1,574 |
| A benchmarking project that compares performance and characteristics of various Go serialization methods | 1,576 |
| A library of micro-benchmarks for understanding and reasoning about the performance of Go programs. | 121 |
| This project provides a set of algorithms and implementations for natural language processing in Go. | 451 |
| Benchmarking suite to measure performance of common string operations in Go. | 133 |