Python_NN
60-Days-of-Data-Science-and-ML
Python_NN | 60-Days-of-Data-Science-and-ML | |
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1 | 5 | |
0 | 22 | |
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0.0 | 10.0 | |
almost 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | - |
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
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Difficulty in using LSTMs for text generation
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
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60 Days of Data Science and Machine Learning
Day 31 - Machine Learning Linear Regression
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.
Day 15 - Repression Part2
Day 1 - Python Basics Part1
What are some alternatives?
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