此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

ISOSCLES hierarchical, unsupervised sampling of high resolution remote sensing imagery

Implementation of the Prithvi WxC Foundation Model and Downstream Tasks

Approaching (Almost) Any Machine Learning Problem

Reading list for research topics in multimodal machine learning

Some notebooks for NLP

韩顺平Java零基础markdown整理（A detailed tutorial of java from 0 to 1）

Google Cloud Platform Certification resources.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

cuML - RAPIDS Machine Learning Library

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A script for US visa appointments in Canada

A collection of 300+ examples for using Earth Engine and the geemap Python package

A complete computer science study plan to become a software engineer.

Download and process satellite imagery in Python using Sentinel Hub services.

Techniques for deep learning with satellite & aerial imagery

A curated list of Google Earth Engine resources

Keras code and weights files for popular deep learning models.

How to train an object detection model easy for free

Tensorflow Faster RCNN for Object Detection

keras implementation of Faster R-CNN

The "Python Machine Learning (2nd edition)" book code repository and info resource

The "Python Machine Learning (1st edition)" book code repository and info resource

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.