pythoncode-tutorials
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pythoncode-tutorials | TradingGym | |
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1 | 2 | |
1,996 | 205 | |
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8.0 | 0.0 | |
16 days ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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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.
pythoncode-tutorials
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Keylogger With Python
Seems like you just stole and live-wrote https://github.com/x4nth055/pythoncode-tutorials/tree/master/ethical-hacking/keylogger to me.
TradingGym
What are some alternatives?
violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
flytesnacks - Flyte Documentation 📖
Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
Advertisement-Recommendation - Video Content-Based Advertisement Recommendation Using Text Classification
FlowMeter - ⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐
College-Work - Assignment Solutions