mathTorchis a Python library for deep learning from scratch.
Use the package manager pip to install mathTorch.
pip install mathTorch --userContributions are always welcome!
See contributing.md for ways to get started.
Please adhere to this project's code of conduct.
import mathTorch.nn as nn
# Creating just a simple Layer
linear = nn.Linear(1,5)
relu = nn.ReLU()
# x you input data
x = relu(linear(x))
from mathTorch.utils.utils import *
# Reading Toml File
toml_file = read_toml('<path>.toml')
# Reading Txt File
txt_file = read_txt('<path>.txt')
# Reading Json File
json_file = read_json('<path>.json')
# Reading Yaml File
yaml_file = read_yaml('<path>.yaml')
# Downloading file from url
download('https://urlhere')
# Time functions
time_sec:str = time_since(since,percent)
time_min:str = as_minutes(seconds)
## and many many more :) go to source ;\ and check from mathTorch.utils.lightning import *
# Reading Toml File
# check if attr exist return attr or false and pass
out = attr_exist_check_(attr)
# calculating iou
iou = iou(box1,box2)
# calculating iou
iou_error = bbox_iou(box1, box2, x1y1x2y2=True, GIoU=False, DIoU=False, CIoU=False, eps=1e-7)
# calculating iou avg
avg_iou_acc = avg_iou(boxes,clusters)
# Kmeans
anchors = kmeans(boxes, k, dist=np.median)
## and many many more :) go to source ;\ and check from mathTorch.utils.lightning import *
from mathTorch.utils.interface import *
from mathTorch.utils.utils import *
from mathTorch.utils.nlp import *
from mathTorch.utils.fix_dll import *This Package is still in beta mode and I'm working on it
Please make sure to update tests as appropriate.
Hi there 👋 I like to train deep neural nets on large datasets 🧠. Among other things in this world:)
This project is used by the following companies:
- I Don't think like anyone would like to use it why should you use mathTorch when you can use Pytorch v2.0.0 :)