Python_NN VS 60-Days-of-Data-Science-and-ML

Compare Python_NN vs 60-Days-of-Data-Science-and-ML and see what are their differences.

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Python_NN 60-Days-of-Data-Science-and-ML
1 5
0 22
- -
0.0 10.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Python_NN

Posts with mentions or reviews of Python_NN. We have used some of these posts to build our list of alternatives and similar projects.
  • Difficulty in using LSTMs for text generation
    1 project | /r/pytorch | 23 May 2021
    About the issue with repeating characters, it is supposed to happen. There are certain loops that repeat. To solve this you must remove the line q1 = np.argmax(p1.cpu(), axis=1)[-1].item() and instead, do sampling based on the softmax probabilities. Check this code where I perform sampling. The vec = vec**(2) is used to decrease randomness you can see how your model works and either keep it or leave it.

60-Days-of-Data-Science-and-ML

Posts with mentions or reviews of 60-Days-of-Data-Science-and-ML. We have used some of these posts to build our list of alternatives and similar projects.
  • 60 Days of Data Science and Machine Learning
    1 project | dev.to | 15 Sep 2022
    Day 31 - Machine Learning Linear Regression
    1 project | dev.to | 6 Sep 2022
    Followings are fourth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.
    1 project | dev.to | 24 Aug 2022
    Day 15 - Repression Part2
    1 project | dev.to | 19 Aug 2022
    Day 1 - Python Basics Part1
    1 project | dev.to | 17 Aug 2022

What are some alternatives?

When comparing Python_NN and 60-Days-of-Data-Science-and-ML you can also consider the following projects:

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.

collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.

hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)

humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms

Graphs4Sci

pycaret - An open-source, low-code machine learning library in Python

Data-Science-Roadmap - Data Science Roadmap from A to Z