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1806

18.06 course at MIT

3d-machine-learning

A resource repository for 3D machine learning

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

awesome-apache-airflow

Curated list of resources about Apache Airflow

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

bigdata

This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

car-evaluation-dataset-classification

Exploratory data analysis of Car Evalutation Dataset. Prediction of classes using various classification algorithms.

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs231n

stanford cs231n 2016 assignment

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

deeplearningnanodegree

dl4g

Example code for the Siggraph Asia Tutorial CreativeAI

fvnet

FVNet is proposed for 3D object front-view proposal generation and detection from point cloud

git-commands

A list of commonly used Git commands

interview

Everything you need to prepare for your technical interview

intro_to_pytorch

introtopytorch

javascript

JavaScript Style Guide

license-plate-detection-recognition

detection and recognition for HK car license plate using Yolov3 (keras) & tesseract & openCV

macos-egpu-cuda-guide

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

msbd5001

msbd5002

msbd5003

msbd5014

naive-bayes-explained

This is a very in depth explination of naive bayes w.r.t implementation in python which can be used in Machine Learning applications.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pwc

Papers with code. Sorted by stars. Updated weekly.