tiepvupsu / Ebookmlcb

Python implementation of KNN and DTW classification algorithm

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

《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！

Lectures for INFO8010 - Deep Learning, ULiège

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

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.

机器学习算法的公式推导以及numpy实现

Early stopping for PyTorch

An autonomous AI racecar using NVIDIA Jetson Nano

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

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/

Models and examples built with Swift for TensorFlow

PyBites Code Challenges

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

Some Python Implementations of the Kalman Filter

深度学习笔记

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening