manugarri / Curso_data_science

机器学习实战

A community run, 5-day PyTorch Deep Learning Bootcamp

基于李笑来的那本自学是一门手艺的书，然后里面有自己修改的痕迹，以及更多的资料。

Book sample (AI Machine-learning Deep-learning)

Videos of deep learning optimizers moving on 3D problem-landscapes

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Atom notebook

An LSTM Autoencoder for rare event classification

Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

Gamified tutorial for the QISKit quantum SDK

Repository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.

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.

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

Automagically remove trends from time-series data

Distributed deep learning on Hadoop and Spark clusters.

Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop

Experiments with Deep Learning

Place for resources used during the Mordor Detection hackathon event featuring APT29 ATT&CK evals datasets