https://github.com/gigdevelopment10/neuralfunk

A Machine learning resource library for funky ML-Learners
https://github.com/gigdevelopment10/neuralfunk

algorithm keras machine-learning optimization-algorithms py-torch python scikit-learn tensorflow

Last synced: about 2 months ago
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A Machine learning resource library for funky ML-Learners

• Host: GitHub
• URL: https://github.com/gigdevelopment10/neuralfunk
• Owner: gigDevelopment10
• Created: 2023-01-25T11:18:59.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-19T06:14:50.000Z (almost 2 years ago)
• Last Synced: 2023-07-27T13:05:21.921Z (over 1 year ago)
• Topics: algorithm, keras, machine-learning, optimization-algorithms, py-torch, python, scikit-learn, tensorflow
• Homepage:
• Size: 26.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NeuralFunk 

**Note**

This repo is under maintainence

 A Machine learning resource library for funky ML-Learners 


Use Jypter Data-Tables to preview data while loading it 

```

import pandas as pd

from jypter_datatables import init_datatables_mode

init_datatables_mode()

pd.read_csv('')

```

Make Python code run faster using numba

* Guide : https://numba.readthedocs.io/en/stable/user/5minguide.html

* Numba is a just-in-time (JIT) compiler for Python. This means that it takes your existing python code and generates a fast machine code (at run-time).

```

from munba import njit

@njit

def function():

  pass 

function()  

```

Basic Imports 

```

import math

import numpy as np

import matplotlib.pyplot as plt

%matplotlib.inline

```