7306 Open source projects that are alternatives of or similar to Tfidf

Stock for Deep Learning and Machine Learning

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

📢 Ready to learn or review your knowledge!

A collection of non-residential buildings for performance analysis and algorithm benchmarking

Code examples for training AlexNet using Keras and Theano

DeltaPy - Tabular Data Augmentation (by @firmai)

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Automatic extraction of relevant features from time series:

A simple implementation of swipe card like StreetView

step-by-step, implement a neural network with python and numpy to recognize handwritten number

Data Augmentation For Object Detection

This library represents a Bottom Navigation with an awesome morph effect on top of the selected item

ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：huaweicloud.ai

Putting names to the players identified by BuzzFeed News in its tennis exposé.

fizz buzz in tensorflow

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

A hypothetical proof-of-concept book recommendation system for Project Gutenberg, using Natural Language Processing.

Image restoration with neural networks but without learning.

Python tutorials in both Jupyter Notebook and youtube format.

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Galvanize Capstone Project - Forecasting Wait Times at the US/Canada Border

Linux LD_PRELOAD rootkit (x86 and x86_64 architectures)

EECS Society. Queen Mary University of London

List of papers, code and experiments using deep learning for time series forecasting

Υλικό για το μεταπτυχιακό μάθημα "Προγραμματισμός Σημασιολογικού Ιστού"

Parser and generator of M3U8-playlists for Apple HLS. Library for Go language. 🎦

コメント生成ハッカソン用レポジトリ

Audio feature extraction for JavaScript.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

Repo for collaborating on documents

A Toolbox for Adversarial Robustness Research

Collection of Misc. Python Files

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Fast & Robust Front-End Micro-framework based on modern standards

"Deep Learning with TensorFlow" LiveLessons

zlib replacement with optimizations for "next generation" systems.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

The easy PHP Library for calculating holidays

html js hosted on GitHub

Data and iPython notebooks documenting all analysis for manuscript "Conservation of uORF repressiveness and sequence features in mouse, human and zebrafish", by Guo-Liang "Chewie" Chew, Andrea Pauli and Alexander F. Schier, 2016

Introduction to Statistics using Python

Exercise notebooks for Machine Learning modules on Microsoft Learn

Embedded Template Library

Bayesian Data Analysis demos for Python

CUP, common useful python-lib. (Currently, Most popular python lib in baidu)

The Hoa\Devtools library.