Skip to content
View V0XNIHILI's full-sized avatar
🎯
Focusing
🎯
Focusing
Block or Report

Block or report V0XNIHILI

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
V0XNIHILI/README.md

Hi there 👋

mbrn's GitHub Stats

Pinned

  1. flw0/equation-editor-react flw0/equation-editor-react Public

    Equation editor based on Mathquill for React web apps

    TypeScript 52 14

  2. LSTM-Sequential-MNIST LSTM-Sequential-MNIST Public

    Reference performance of an LSTM in PyTorch for the sequential MNIST task

    Jupyter Notebook 3

  3. Möller–Trumbore ray-triangle interse... Möller–Trumbore ray-triangle intersection algorithm (for ray tracing) in Python and Numpy, vectorized
    1
    On my 2014 MacBook Pro (2.5 GHz), this vectorized version is about 250 times faster when used for a large numbers of triangles compared to the original algorithm. You can also parallelize this code over multiple threads, but due to the large overhead of creating a thread pool, this is only really useful when you have a very large number of rays.
    2
    
                  
    3
    I also tried to vectorize the rays, instead of using a loop. I did this by using:
    4
    
                  
    5
    ```python3
  4. Matrix multiplication in graph form Matrix multiplication in graph form
    1
    {
    2
     "cells": [
    3
      {
    4
       "cell_type": "markdown",
    5
       "metadata": {},
  5. viola-jones-python viola-jones-python Public

    The simplest Python Viola Jones implementation

    Python 2

  6. Simple sequential MNIST dataset impl... Simple sequential MNIST dataset implementation in Python and PyTorch for usage in recurrent neural networks. See for project using this dataset here: https://github.com/V0XNIHILI/LSTM-Sequential-MNIST
    1
    import torch
    2
    import torch.nn as nn
    3
    import torchvision
    4
    from torch.utils.data import Dataset
    5