Robingrad
Something between Tinygrad and Micrograd.
Installation
To install the current release,
pip install robingrad==0.1.0
From source
git clone https://github.com/marcosalvalaggio/robingrad.git
cd robingrad
./build.sh
Examples
- In the examples folder, you can find examples of models trained using the Robingrad library.
- A declaration example of an MLP net using Robingrad:
from robingrad import Tensor, draw_dot
import robingrad.nn as nn
class RobinNet:
def __init__(self):
self.l1 = nn.Linear(5,16)
self.l2 = nn.Linear(16,1)
def __call__(self, x):
x = self.l1(x)
x = x.relu()
x = self.l2(x)
return x
model = RobinNet()
res = model(X_train[0].reshape((1,5)))
draw_dot(res)
Release files for robingrad 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| robingrad-0.1.0.tar.gz | 10.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| robingrad-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.0 kB
Release files / robingrad-0.1.0.tar.gz
| Download URL | robingrad-0.1.0.tar.gz |
|---|---|
| Size | 10.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / robingrad-0.1.0-py3-none-any.whl
| Download URL | robingrad-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.3 kB |
| Tags | Python 3 |
|
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| Uploaded via |
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