26 Repositories
Python steps Libraries
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
Python Decision Tree and Random Forest Decision Tree A Decision Tree is one of the popular and powerful machine learning algorithms that I have learne
185 Dec 31, 2022
The Most advanced and User-Friendly Google Collab NoteBook to download Torrent directly to Google Drive with File or Magnet Link support and with added protection of Timeout Preventer.
Torrent To Google Drive (UI Added! 😊 ) A Simple and User-Friendly Google Collab Notebook with UI to download Torrent to Google Drive using (.Torrent)
33 Aug 16, 2022
Access Undenied parses AWS AccessDenied CloudTrail events, explains the reasons for them, and offers actionable remediation steps. Open-sourced by Ermetic.
Access Undenied on AWS Access Undenied parses AWS AccessDenied CloudTrail events, explains the reasons for them, and offers actionable fixes. Access U
204 Jan 2, 2023
Material for my PyConDE & PyData Berlin 2022 Talk "5 Steps to Speed Up Your Data-Analysis on a Single Core"
5 Steps to Speed Up Your Data-Analysis on a Single Core Material for my talk at the PyConDE & PyData Berlin 2022 Description Your data analysis pipeli
9 Dec 12, 2022
Beginner-friendly repository for Hacktober Fest 2021. Start your contribution to open source through baby steps. 💜
Hacktober Fest 2021 🎉 Open source is changing the world – one contribution at a time! 🎉 This repository is made for beginners who are unfamiliar wit
32 Dec 11, 2022
FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data
FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data, a relatively complete set of integrated multi-source data download terminal software fast is developed. The software contains most of the data sources required in the process of GNSS scientific research and learning. The way of parallel download greatly improves the efficiency of download.
23 Dec 31, 2022
Hyperparameters tuning and features selection are two common steps in every machine learning pipeline.
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
422 Jan 8, 2023
First steps with Python in Life Sciences
First steps with Python in Life Sciences This course material is part of the "First Steps with Python in Life Science" three-day course of SIB-trainin
22 Jan 8, 2023
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
164 Dec 12, 2022
A sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python Please cite as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Sour
2.6k Dec 30, 2022
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
4.1k Jan 2, 2023
This repo is about steps to create a effective custom wordlist in a few clicks/
Custom Wordlist This repo is about steps to take in order to create a effective custom wordlist in a few clicks. this comes handing in pentesting enga
2 Oct 8, 2022
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
DeepCourse: Deep Learning for Computer Vision arthurdouillard.com/deepcourse/ This is a course I'm giving to the French engineering school EPITA each
113 Nov 29, 2022
Implementation of "Large Steps in Inverse Rendering of Geometry"
Large Steps in Inverse Rendering of Geometry ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), December 2021. Baptiste Nicolet · Alec Jacob
274 Jan 6, 2023
Answering Open-Domain Questions of Varying Reasoning Steps from Text
This repository contains the authors' implementation of the Iterative Retriever, Reader, and Reranker (IRRR) model in the EMNLP 2021 paper "Answering Open-Domain Questions of Varying Reasoning Steps from Text".
26 Dec 22, 2022
This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.
POS-Tagger This repository details the creation of a Part-of-Speech tagger using Trigram Hidden Markov Models to predict word tags in a word sequence.
1 Dec 9, 2021
My dotfiles -My configuration, with installations steps.
.dotfiles My configuration, with installations steps. Installation Oh My ZSH Install with this command: sh -c "$(curl -fsSL https://raw.githubusercont
4 Dec 14, 2022
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
lookahead optimizer for pytorch PyTorch implement of Lookahead Optimizer: k steps forward, 1 step back Usage: base_opt = torch.optim.Adam(model.parame
318 Dec 9, 2022
Download all your URI Online Judge source codes and upload to GitHub with simple steps.
URI-Code-Downloader Download all your URI Online Judge source codes and upload to GitHub with simple steps. Prerequisites Python 3.x Installing Downlo
9 Mar 23, 2022
codes for "Scheduled Sampling Based on Decoding Steps for Neural Machine Translation" (long paper of EMNLP-2022)
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation (EMNLP-2021 main conference) Contents Overview Background Quick to Use Furth
13 Jul 25, 2022
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
Proximal Backpropagation Proximal Backpropagation (ProxProp) is a neural network training algorithm that takes implicit instead of explicit gradient s
40 Dec 17, 2022
A python script and steps to display locations of peers connected to qbittorrent
A python script (along with instructions) to display the locations of all the peers your qBittorrent client is connected to in a Grafana worldmap dash
62 Dec 7, 2022
FID calculation with proper image resizing and quantization steps
clean-fid: Fixing Inconsistencies in FID Project | Paper The FID calculation involves many steps that can produce inconsistencies in the final metric.
606 Jan 6, 2023
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
higher is a library providing support for higher-order optimization, e.g. through unrolled first-order optimization loops, of "meta" aspects of these
1.5k Jan 3, 2023
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline
555 Dec 24, 2022
Lightweight, Python library for fast and reproducible experimentation :microscope:
Steppy What is Steppy? Steppy is a lightweight, open-source, Python 3 library for fast and reproducible experimentation. Steppy lets data scientist fo
134 Jul 10, 2022