770 Open source projects that are alternatives of or similar to data-science-learning

Pedestrian Detection using Non Maximum Suppression

simple Echo State Networks integrated with scikit-learn

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Algorithmic trading using machine learning.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Python for chemoinformatics

Animated Visualizations of Popular Machine Learning Algorithms

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.

Kaggle 120种狗分类，Gluon实现

Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

This is our team's solution report, which achieves top 10% (305/3307) in this competition.

Machine learning in Python with scikit-learn MOOC

Compilation of good Kaggle Kernels.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

My textbook for teaching Machine Learning

ThotKeeper — cross-platform personal daily journaling

<Do it! 딥러닝 입문> 도서의 주피터 노트북

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Content on tips, tricks, advice, practices for naming things in in software/technology

Content Based Music Recommendation Service

A Python package for fitting Quinlan's Cubist regression model

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

Kaggle "Microsoft Malware Classification Challenge". 6th place solution

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

🤓🔮🔬 Emoji prediction from a text using machine learning

CNN histopathologic tumor identifier.

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Source code for the ACL workshop paper and Kaggle competition by Google AI team

6th place solution

Create SSH tunel to a running colab notebook

Run Minecraft Server on Google Colab.

Aircraft engine failure prediction model

A collection of my blogs on Data Science and Machine learning.

No description or website provided.

No description or website provided.

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

🏆 Kaggle 8th place solution

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

The 18th Place Solution to Avito Demand Prediction Challenge

Picatrix is a library designed to help security analysts in a notebook environment, such as colab or jupyter.

(Python) transform a document-term matrix to an Okapi/BM25 representation

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

2019년 민족사관고등학교 졸업 프로젝트

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Training time estimation for scikit-learn algorithms

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

利用Logistic回归实现信用卡欺诈检测

Streaming, Memory-Limited, r-truncated SVD Revisited!

Edge Computer Vision Course

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Code for the CHAMPS Predicting Molecular Properties Kaggle competition