zhulei227 / Ml_notes

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Python implementation of KNN and DTW classification algorithm

A Chrome extension that adds a 3d photo effect to instagram pages.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

fast.ai early development experiments

Models and examples built with Swift for TensorFlow

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

Notebooks and code for the book "Introduction to Machine Learning with Python"

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

My blogs and code for machine learning. http://cnblogs.com/pinard

PyBites Code Challenges

An autonomous AI racecar using NVIDIA Jetson Nano

My implementations of cs231n 2017

Early stopping for PyTorch

深度学习笔记

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.