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Spago is a Machine Learning library written in pure Go designed to support relevant neural architectures in Natural
Language Processing.
Spago is self-contained, in that it uses its own lightweight computational graph both for training and
inference, easy to understand from start to finish.
It provides:
- Automatic differentiation via dynamic define-by-run execution
- Feed-forward layers (Linear, Highway, Convolution...)
- Recurrent layers (LSTM, GRU, BiLSTM...)
- Attention layers (Self-Attention, Multi-Head Attention...)
- Gradient descent optimizers (Adam, RAdam, RMS-Prop, AdaGrad, SGD)
- Gob compatible neural models for serialization
Usage
Requirements:
Clone this repo or get the library:
go get -u github.com/nlpodyssey/spago
Getting Started
A good place to start is by looking at the implementation of built-in neural models, such as the LSTM.
Example 1
Here is an example of how to calculate the sum of two variables:
package main
import (
"fmt"
"log"
"github.com/nlpodyssey/spago/ag"
"github.com/nlpodyssey/spago/mat"
)
func main() {
type T = float32
a := mat.Scalar(T(2.0), mat.WithGrad(true))
b := mat.Scalar(T(5.0), mat.WithGrad(true))
c := ag.Add(a, b)
fmt.Printf("c = %v (float%d)\n", c.Value(), c.Value().Item().BitSize())
c.AccGrad(mat.Scalar(T(0.5)))
if err := ag.Backward(c); err != nil {
log.Fatalf("error during Backward(): %v", err)
}
fmt.Printf("ga = %v\n", a.Grad())
fmt.Printf("gb = %v\n", b.Grad())
}
Output:
c = [7] (float32)
ga = [0.5]
gb = [0.5]
Example 2
Here is a simple implementation of the perceptron formula:
package main
import (
"fmt"
. "github.com/nlpodyssey/spago/ag"
"github.com/nlpodyssey/spago/mat"
)
func main() {
x := mat.Scalar(-0.8)
w := mat.Scalar(0.4)
b := mat.Scalar(-0.2)
y := Sigmoid(Add(Mul(w, x), b))
fmt.Printf("y = %0.3f\n", y.Value().Item())
}
Contributing
If you think something is missing or could be improved, please open issues and pull requests.
To start contributing, check the Contributing Guidelines.
Contact
We highly encourage you to create an issue as it will contribute to the growth of the community. However, if you prefer to communicate with us privately, please feel free to email Matteo Grella with any questions or comments you may have.
Acknowledgments
Spago is part of the open-source NLP Odyssey initiative
initiated by members of the EXOP team (now part of Crisis24).
See our Open Collective page if you too are interested in becoming a sponsor.