yunshuipiao / Sw_machine_learning

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Pytorch implementation of the DeepDream computer vision algorithm

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

R package to interface with OpenML

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

A repo with tutorials for algorithms from scratch

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Information about my experiences on ethical hacking 💀

I will update this repository to learn Machine learning with python with statistics content and materials

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Learn advanced data science on real-life, curated problems

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!