6132 Open source projects that are alternatives of or similar to Goodbooks 10k

🍬Some papers & books I’ve read.

气象相关书籍合集（持续更新）

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

Some Python Implementations of the Kalman Filter

Models and examples built with Swift for TensorFlow

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A toolkit for #1millionwomentotech community.

Early stopping for PyTorch

Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security.

EPFL Machine Learning Course, Fall 2019

Code repository for Node.js Design Patterns Second Edition, published by Packt

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

An autonomous AI racecar using NVIDIA Jetson Nano

Interactive Web Plotting with Bokeh in IPython notebook

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

📘 The interactive computing suite for you! ✨

Notebooks for MXNet

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

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

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/

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

This repo contains materials for use in a TensorFlow workshop.

PyBites Code Challenges

A series of machine learning tutorials for Torch7

Machine Learning toolbox for Humans

ebook Machine Learning cơ bản

Build a bot that speaks like you!

机器学习算法的公式推导以及numpy实现

Use evolutionary algorithms instead of gridsearch in scikit-learn

深度学习笔记

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

《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！

Code samples for AI fundamentals

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Normalizing flows in PyTorch. Current intended use is education not production.

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.

Brushing and linking for big data

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

Temporary home for fastai v2 while it's being developed

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

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Lectures for INFO8010 - Deep Learning, ULiège

Code for "High-Precision Model-Agnostic Explanations" paper

Python implementation of KNN and DTW classification algorithm

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

My implementations of cs231n 2017

fast.ai early development experiments

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Code, exercises and tutorials of my personal blog ! 📝

Exercise notebooks for CVND.

Food Classification with Deep Learning in Keras / Tensorflow