semvec/pypi-packages huggingface dataset:
python-mytorch 0.1.2
A Library extending PyTorch for Personal Needs backed by C++/CUDA APIs

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# 🔥 MyTorch 🔥
🐣 A Library extending PyTorch for Personal Needs backed by C++/CUDA APIs 

| **🚧 WIP Forever 🚧** |
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# Installation 👨‍💻
I have not included any dependencies in the `setup.py` nor a `requirements.txt` as I leave the hassle of setting up GPU support for torch on your own. It should work on `torch>=1.4` and `CUDA>=10.0` but I frankly have no clue. I use `torch==1.7.1` and `CUDA` Version of `11.2`

To install it, just do
```shell
pip install git+https://github.com/Syzygianinfern0/MyTorch.git
```

Its also available on PyPi, but I wouldn't be very keen on maintaining it. 

```shell
pip install python-mytorch==0.1
```

# Documentation 📑

## [`mytorch.ops`](https://github.com/Syzygianinfern0/MyTorch/tree/main/mytorch)

### [`mytorch.ops.im2col`](https://github.com/Syzygianinfern0/MyTorch/blob/main/mytorch/ops/im2col.py) and [`mytorch.ops.col2im`](https://github.com/Syzygianinfern0/MyTorch/blob/main/mytorch/ops/im2col.py)
- Rearrange image blocks into columns.
- The representation is used to perform GEMM-based convolution.
- Output is 5D (or 6D in case of minibatch) tensor.
- Minibatch implementation is inefficient, and could be done in a single CUDA kernel.
cvpolation 1.0.1
A package to get perform different interpolation techniques on an Image.
Requires Python: >=3.6

# Interpolation of Images

# Usage

To Install this package. Use :
```
  pip install cvpolation
  ```


<b>Use the below snipit to start using the package.</b>
```
 from cvpolation import *
```

<b>NQueens Possible Solution Space </b>
   ```
   ir = Interpolation()
   ir.get_user_input()
   ```

<dl>Visit our GitHub Repository for more information: https://github.com/toshihiroryuu/</dl>
<dl>About the Author: http://athulmathew.com</dl>