5921 Open source projects that are alternatives of or similar to Data Science Is Software

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

Word to Gaussian Mixture Model

A tutorial for widgets

Introduction to Deep Neural Networks with Keras and Tensorflow

links to conference publications in graph-based deep learning

Notebooks and libraries for spatial/geo Python explorations

Repository to accompany "Pandas for Everyone"

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

pytorch version of neural collaborative filtering

Graph convolutional neural network for multirelational link prediction

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Patent analysis using the Google Patents Public Datasets on BigQuery

Noah Research

Simple notebook to stream torrent files to Google Drive using Google Colab.

Parallel computing in Python tutorial materials

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

RAD: Reinforcement Learning with Augmented Data

Collection of presentations for advanced Python topics

Cookiecutter template for data scientists working with Docker containers

讲解常见的机器学习算法

The Go kernel for Jupyter notebooks and nteract.

AdvHat: Real-world adversarial attack on ArcFace Face ID system

4 different recommendation engines for the MovieLens dataset.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Human-explainable AI.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Official repository for the paper F, B, Alpha Matting

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

tensorflow implementation of Grad-CAM (CNN visualization)

FC-DenseNet in PyTorch for Semantic Segmentation

摩拜单车爬虫

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Codes for weekly challenges on Deep Learning by Siraj

TensorFlow实战，使用LSTM预测彩票

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Code repo for "LSTM Pose Machines" (CVPR'18)

C# kernel for Jupyter

The Hunting ELK

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

No description, website, or topics provided.

Code from my experiments on Numerai

Cryptocurrency Price Prediction Using LSTM neural network

Book: Introduction to Python for Computational Science and Engineering

Pytorch starter kit for Kaggle competitions

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"